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LimeChain (Bulgaria with operations in Central Asia) LimeChain, based in Bulgaria, has expanded its operations to Central Asia, offering blockchain consulting and development services. The company assists businesses in integrating blockchain technology ...

Top Blockchain Development Companies in Central Asia: Innovative Solutions For Businesses

Based in Sofia, LimeChain has carved a niche for itself in the blockchain space. Specializing in Ethereum, EOS, and Aeternity, LimeChain offers end-to-end blockchain solutions for startups and enterprises alike. Their portfolio boasts several successful ...

Why Top Blockchain Development Companies In the Balkans Are Undergoing Renaissance

The Blockchain Technology Market is on the verge of a remarkable transformation, poised to surge at an impressive CAGR of 44.3% from 2023 to 2033. This seismic growth will propel the market valuation to a staggering US$ 181.1 billion by 2033, a remarkable ...

Blockchain Technology Market Set to Skyrocket, Reaching US$ 181.1 Billion by 2033

“Distributed ledger technology has the power to do for the inter-company communications, what ERP (Enterprise Resource Planning) systems did for internal company communications – allowing all parts to stay in sync” - Paul Brody, EY @ EY Blockchain Global In the last several years, a lot of companies have been playing around with blockchain – from small niche startups to giant corporations. When it comes to enterprises, blockchain has been met with skepticism, and maybe rightfully so. Companies have been hesitant to introduce blockchain to their operations – they risk leaking sensitive data, require sophisticated setup, and require joining a common network, to even yield the first meaningful results. Although quite a lot of privacy and user experience advancements, blockchain is still a hard sell to the enterprise. The Baseline Protocol is an open-source initiative that combines the power of cryptography, peer-to-peer networking, and DLT in order to allow enterprises to deliver secure and private business processes at a low cost. The devil is in the details though, so in this article, we will clear out the following aspects of The Baseline Protocol: What is The Baseline Protocol What Are the Benefits of Using the Baseline Protocol Over Alternative SolutionsThe Reference Use-Case for the Baseline Protocol How the Baseline Protocol Works A Technical Overview of The Baseline Protocol Demonstration of the Baseline Protocol Who Develops the Baseline Protocol More Resources What is The Baseline Protocol The Baseline Protocol is an open-source initiative aimed at the synchronization of private business processes, like document exchange, via a public blockchain. It leverages cryptography techniques like zero-knowledge proofs and signatures, peer-to-peer messaging protocols, and the blockchain to achieve its goals. On one hand, it is designed with confidentiality, privacy, and data security in mind. The mixture of technologies is aligned in such a way that none of your sensitive data is leaked. This data stays safely with you and your counter-parties. Outsiders looking in will not know what process is being executed, who are the actors, or what goods are exchanged. On the other hand, the protocol is designed with complex interactions in mind. Inter-company business processes involve many stops and checks and are never straightforward. The protocol will allow you to describe and accommodate your business process however complex it is. What Are the Benefits of Using the Baseline Protocol Over Alternative Solutions In this section, we will examine several alternatives to Baseline Protocol and will showcase how it compares to each of them. The first alternative that comes to mind is using a centralised system to store the records of the communication and synchronization between the companies involved. Such a centralized solution will render one of the parties “ruling” over the others and having unfair access to all the data. Although a neutral third party can be used, this service is very costly and gives yet another actor access to sensitive data. A second approach would be to develop a custom solution for each party of the exchange and connect them together. This solution will be costly to develop and will be difficult to scale when you need to accommodate new players. The new players will need to develop their own custom solution to join the network. The third solution would be the usage of an access restricted enterprise blockchain network. Although this offers the desired decentralization and unification required, it hardly meets the highest standards for security, privacy, and performance – at the end of the day, your counterparty nodes are storing your data. The Baseline protocol uses an always-on public blockchain network (currently Ethereum main net) to keep the parties synchronized and following the rules. Through the use of cryptography, the sensitive data never leaves your internal storage place, while both sides are guaranteed to follow the rules through the use of zero-knowledge proofs. The data exchange only happens in an encrypted peer-to-peer manner on a need-to-know basis. This way, The Baseline Protocol allows you to have the security of your data while still being sure that all the parties involved in the process are always in sync. The Reference Use-Case for the Baseline Protocol Radish34 is the reference use-case proof of concept for the Baseline Protocol. It showcases how document exchange and synchronization can happen in the context of a supply chain. Because the target audience is high scale enterprises, the end solution does not compromise information security practices. The POC governs the process of procurement in the following steps: • Request for Quotation – Buyers request a quote from a given supplier outlining their specific needs (items, quantities, dates, etc). The supplier receives and reviews the RFQ. • Proposal – The supplier responds to the request providing the terms they can offer. The buyer reviews the Proposal. • Contract – The buyer uses the terms of the proposal to generate and sign a contract. The supplier reviews the contract and counter-signs. A cryptographical proof of the contract and its signatures are sent to the blockchain in the form of a zero-knowledge artifact. The blockchain checks if all the requirements are met. • Purchase Order – The buyer uses the terms in the contract and sends a purchase order to the supplier. The supplier receives and reviews the purchase order. This process can be used to connect two companies regardless of the sophistication of their systems. Here is what the process would look like with Julia – using Microsoft Dynamics 365 and Todd using Google Spreadsheets. How the Baseline Protocol Works The Baseline Protocol can be split into several distinct phases. The first phase is a peer-to-peer exchange of documents. In this phase, the parties interacting secretly exchange the documents that will govern their further work. In the Radish34 use case, these are the RFQ and Proposal. The second phase is called “Baselining a document”. In this phase, a proof is generated that the business process was followed and is sent to the blockchain. In order for this information to be private, the terms of the business process are written into a zero-knowledge cryptographical construct called a circuit. Imagine the circuit as the process definition in code. When a document is being baselined, a zero-knowledge proof is generated and fed into the business process circuit. The zero-knowledge proof gives away no data, but through the circuit, one can be sure that the business process rules were followed. In the case of agreeing on a contract, the business process rules are simple – “have the two parties signed.” Software developers can design much more complex rules and circuits accommodating for more complex scenarios. If the proof successfully passes all the checks, it is stored on the blockchain as an immutable reference point between the two companies. Technical Overview of the Baseline Protocol Reference Use-Case Source: https://docs.baseline-protocol.org/ Under the hood, Radish34 uses Ethereum Mainnet as a public always-on blockchain network. All the parties use GraphQL APIs and MongoDB as their own “ERP” while Whisper is used for peer-to-peer communication. Zokrates is used for the generation of the Zero-knowledge circuits and proofs. As every participant will have a specific set of technologies, different technologies can be used to achieve the same results. Source: https://docs.baseline-protocol.org/ Demonstration of the Baseline Protocol In the following video you can see the process of baselining the communication between a large manufacturer being represented by their Microsoft Dynamics 365 ERP and a smaller niche vendor being represented by their Google Sheet. Who Develops the Baseline Protocol as POC between , , and . In March 2020, the effort was open-sourced and launched as an project enabling other collaborators to join in. Since then, several new maintainers like and have been added. The work is openly governed and the code stays in the . The Baseline Protocol was started EY Blockchain Consensys Microsoft OASIS LimeChain Unibright Baseline Protocol Github repository

The Baseline Protocol Explained

Over the past year, we’ve seen a lot of interest from clients in regards to Enterprise blockchain platforms or DLT technologies. Due to privacy, regulation and scalability concerns, businesses tend to go for Private permissioned ledgers instead of using the public mainnet networks that are available currently. As a result, we are seeing two projects that are gaining traction – Enterprise Ethereum and Hyperledger Fabric. In this article, we are going to explore and compare them. Enterprise Ethereum Enterprise Ethereum is the private, consortium implementation of the Ethereum codebase. It is mainly driven by the and its main goals are to address Enterprise requirements, strive for interoperability while evolving around the public Ethereum Blockchain. Enterprise Ethereum Alliance Community Enterprise Ethereum is benefiting from the world’s biggest blockchain developer community. Hundreds of thousands of software engineers, product developers and designers are working in the ecosystem, building the infrastructure, development tools and applications. Deployment Numerous organisations and governments have reported that they are deploying Enterprise Ethereum into their workflow. [1] Hyperledger Fabric , part of the Hyperledger Greenhouse, is the enterprise-grade distributed ledger technology with privacy support, allowing a vast amount of functionality to be plug-and-play (consensus algorithms, components, membership services, etc.). Due to its modularity and versatile design, this technology satisfies a vast amount of use cases regarding businesses and industries (supply chains, healthcare). Hyperledger Fabric Community The Fabric community is steadily increasing, having more than 20 000 users in their , . chat issue tracking, and roadmap Deployment Due to its unique approach regarding DLT, enabling large scale solutions, HLF is intended to be used mainly by enterprises. Clients Let’s explore the different software clients that are available for running Enterprise DLTs. On the EVM based networks, we have the and . , on the other hand, has only one implementation. It does not have clients similar to the EVM based chains. When we are referring to HLF client we will be referring to its only implementation driven by the Linux Foundation. Hyperledger Besu Quorum Hyperledger Fabric Hyperledger Besu Just to make things clear, Hyperledger by itself is an umbrella project under the Linux Foundation. Hyperledger has a set of open-source blockchain projects and development tools. One of the blockchain projects is the Hyperledger Fabric, another one is the Hyperledger Besu (which is the Enterprise Ethereum client, previously developed by ConsenSys with the name of Pantheon). Hyperledger Besu is a client written in Java for EVM-based chains with additional “enterprise-friendly” features. Quorum Quorum is an EVM-based client developed mainly by JP Morgan. It is a fork from the Geth client (written in Go). It was the first enterprise-focused Ethereum client with it’s enhanced privacy features. Enterprise Blockchain Platforms Comparison We can see that both Quorum and Besu have very similar specs, of course, they are both Enterprise Ethereum clients, however, we can mention the following: Besu has a more advanced JSON RPC API permissioning. The client supports JWT authentication, which can be used to define the access rights of the bearer in terms of which RPC can be called etc. With its recent release (1.4.2) the team has added even more tenant-based features. [ ]Quorum has a more advanced on-chain permissioning. We can define organisations, sub organisations, admins, etc using their pre-defined API Calls and contracts. [ ] 4 5 Who provides BaaS? As space matures, we are seeing more and more Cloud Providers offering BaaS solutions. The biggest ones of course are: – AWS currently offers HLF as-a-service and offering Ethereum as-a-service is in their roadmap as-well. – IBM offers HLF as-a-service as-well. – Azure provides deployment of Ethereum (Quorum/Geth) networks along with a Blockchain Development Kit. AWS Managed Blockchain IBM Blockchain Azure Blockchain Other Cloud providers are jumping into the BaaS as-well. At , we are proud to say that we’ve consulted and helped in offering its own Blockchain solutions and enter the market. LimeChain iNNOVO Cloud Future of Enterprise Blockchain Platforms In recent months we are seeing a different approach on how enterprises utilise the technology. Over the last 2-3 years, the main focus of the companies was to produce PoC and figure out how Blockchain can help in their workflows/processes. A lot was learned from those PoCs as Paul Brody (Principal & Global Innovation Leader of Blockchain Technology, at E&Y) mentioned in a recent interview [ ]. There has been a shift in Permissioned Blockchain Networks. It does not seem efficient to deploy blockchain networks for each formed consortium. If we go this way, at some point, companies will be required to join a lot of consortium networks in order to conduct operations with other companies and instead of decreasing the costs using the technology, it would increase the costs because of the complexity. 6 Baseline Protocol Baseline is an released recently that tries to use the public Mainnet (Ethereum) as a common frame of reference. The idea of deploying permissioned networks for consortiums is shifted towards utilising a shared/common infrastructure which is the Mainnet. You can find more information about Baseline Protocol . open-sourced project here The project was in March 2020 and it is supported by Microsoft, E&Y, ConsenSys and many others. announced An important thing to mention is that the Baseline Protocol is used for “state” settlement using a global and shared infrastructure (the Mainnet). The state might be between 2 consortiums (blockchain networks) or it might be between 2 ERPs, it does not matter. Conclusions Enterprise blockchain platforms are becoming more and more mature and ready to be used in production. One or two years ago, developers and administrators had to build their API/on-chain permissioning schemes, but now they are provided as features from the clients themselves. Choosing the right enterprise blockchain platform for your use-case is not a straightforward answer though. The right DLT solution for you is not the same as for others. Hyperledger Fabric networks tend to be preferred by companies that form bigger consortiums. On the other hand, we’ve had use-cases in which HLF network was deployed for internal processes only without any external organisations. The costs for deploying, configuring and maintaining HLF network tend to be higher compared to deploying EVM based network and that’s why we are seeing smaller projects going for Enterprise Ethereum rather than HLF. New protocols are emerging that utilise the public Ethereum Mainnet as a common frame of reference, bringing down the currently siloed Enterprise structures. This provides the ability to avoid problems that come from deploying permissioned networks for consortiums. In the coming months, we will see how this design pattern will play out and whether Enterprises would want to adopt it. We can both on all of the above-mentioned enterprise blockchain platforms. Get in touch with us at consult and develop hi@limechain.tech. USEFUL LINKS [1] - This ConsenSys article provides an extensive list of the governments that use the technology currently [2] - Enterprise Ethereum Client Specification V4 [3] - Onchain permissioning in Hyperledger Besu [4] - Besu JWT Authentication [5] - Quorum Onchain permissioning [6] - Paul Brody Interview [7] - Baseline Protocol Documentation Previously published at https://limechain.tech/blog/enterprise-blockchain-platforms-current-state-and-further-development/

Enterprise Blockchain Platforms: Current State and Further Development

6 Essential Steps to Build a Blockchain Startup

Photo credit, . This story was sent as the free . HackerNoon.com/Companies Tech Company Brief Here is ! HackerNoon’s free tech company data reports rose to the fifth most interesting tech company this week as has opinions on what their and privatizing means, and as , it doesn’t hurt that Tesla has years of an infrastructure head start over EV suppliers. Tesla everyone and their uncle CEO buying Twitter gas prizes rise in conjunction with battery supply chain struggles stabilized in the 4th spot, fresh off their marketing push to declare as . I guess in this comparison, who is Web3 Facebook? Coinbase their new NFT marketplace the Web3 Instagram is right along as the and . Apple slogging iPhone 13 is beating (most) sales projections opinions remain bearish on their future share of the wearables market snags the second spot, as it releases (up 50% YoY) but investors do have . Microsoft that it’s cybersecurity business is now $15B in yearly revenue some pessimism around the rest of their earnings report Despite a sizable decline in reader interest this week, remains . Notably Amazon is hiring firms to and Bezos is “Did the Chinese government just gain a bit of leverage over the town square?” Amazon the most in demand tech company on HackerNoon right now establish their TikTok presence tweeting Bonus: Check out rising star in the trending startups section, fresh off their . LimeChain Startup Year in Sofia, Bulgaria Win Until Next Time May the Tech Companies Not Own You, David Smooke Subscribe to the free Tech Company Brief.

If The Coinbase NFT Marketplace is Web3 Instagram, Who is Web3 Facebook? 

Si Coinbase NFT Marketplace es Web3 Instagram, ¿quién es Web3 Facebook?

Si le marché Coinbase NFT est Web3 Instagram, qui est Web3 Facebook ?

यदि कॉइनबेस एनएफटी मार्केटप्लेस वेब3 इंस्टाग्राम है, तो वेब3 फेसबुक कौन है?

Coinbase NFT マーケットプレイスが Web3 Instagram である場合、Web3 Facebook は誰ですか?

Se o Coinbase NFT Marketplace é o Web3 Instagram, quem é o Web3 Facebook?

Nếu Thị trường Coinbase NFT là Web3 Instagram, thì Web3 Facebook là ai?

如果 Coinbase NFT 市场是 Web3 Instagram，那么 Web3 Facebook 是谁？

Top Blockchain Development Companies | March 2022

44,000 startups. 4,553 cities. “4 billion votes” It was such a blessing to get to know so many of your ideas and innovations from every corner of the world in 2021. The startup community amazed all of us with your hard work and persistence despite all of the challenges that we faced globally throughout last year. Not gonna lie, the competition got our hearts racing like Eurovision. We won’t let you wait for much longer, below are long-awaited results! ✨✨✨ To see who is a winner in each respective city, visit and pick a city. The name at the top of the list is the winner. (Compromised awards are under review.) startups.hackernoon.com The will announce the winners per region in their respective cities. Startups Winners Announcement Series 🔥 Central Europe Central Europe has always caught our attention with the talented pool of people in tech community. But were they able to get through 2021 despite the pandemic? Let’s cheers to the most outstanding amongst 4,500+ startups who have been working hard this year: Basel, Switzerland An overwhelming vote for ~ in their mission of helping machinery companies drive more service revenues from their installed base MachiQ Software Berlin, Germany We have with a whooping 538 votes! Let’s support Plan A with its mission to help companies to measure, monitor and reduce their environmental footprint. Plan A Düsseldorf, Germany It doesn’t get any easier with Kicking off in helping people organize online schedules more easily. EasyWeek! Geneva, Switzerland Manage code quality? We have to give props to for their startup! SonarSource Hamburg, Germany Taking over Hamburg is , an acoustic device to reduce noises in vehicle cabins. No more annoying sounds on the road 🚗 ReCalm Köln, Germany Small business? Hoping to manage your marketing campaign? is winning the vote! rankingCoach Lausanne, Switzerland is a Swiss-based company focused on cryptocurrency management solutions built for financial institutions. Metaco Leipzig, Germany empowers companies to operate and utilize drones for the most effective industrial data applications. FlyNex Mainz, Germany is growing sustainable digital mobility startups! Next Mobility Labs Munich, Germany wins for top-line, high-security international Identity Management! ORY Stuttgart, Germany Remote desktop application? Ask anywhere. AnyDesk Vienna, Austria , an IT company enabling privacy-preserving big data applications in the digital age. Mostly AI Zug, Switzerland Way to go 1762 votes for the first provably live pure Proof-of-Stake (PoS) CBC-Casper blockchain designed for real-world applications. CasperLabs! Nyon Calling for robust data solutions for impact-driven organizations! Havuta LLC Zürich is revolutionizing small business lending to give easy access to capital to those who need it most: SMEs ✨ Teylor Heidelberg, Germany is an innovative HR startup providing a solution for fast and efficient recruiting of employees with simple job profiles. Talk'n'Job Stuttgart, Germany Congratulations for winning this title! AnyDesk Moving on to our buddies in... 🔥 Eastern Europe Eastern Europe is home to many familiar big names in our start-up world. Trace history for Miro, Telegram, and Grammarly and you know where they are from. Who is the next generation for Eastern European startups? Budapest, Hungary is a platform for mobile app development, enabling tens of thousands of developers to automate integration, testing, and deployment. Bitrise I__ __ stanbul, Turkey Leading here is - a brand new software intelligence platform- helps organizations deliver faster, high-quality products by connecting their DevOps tools. Oobeya Kraków, Poland is a human cloud platform that connects global enterprises with European software houses, offering tech talent as a service. Talent Alpha Kyiv, Ukraine 281 votes for , an AI powered app where people can swap faces in the videos, GIFs and images in just a few seconds. Reface Sofia, Bulgaria 387 votes for __ __378, leading Blockchain and DLT solutions company that specializes in helping enterprises and blockchain startups design, build and scale innovative solutions using Blockchain & DLT! LimeChain Warsaw, Poland is a next-generation blockchain document management software (DMS). DoxyChain Yerevan, Armenia Whoever clicked to vote for was sure a vote, because it ended up winning as a full-service software provider delivering Artificial Intelligence & Machine Learning solutions for businesses. SmartClick smart Almaty Just like the name suggested, provides one pass to dozens of gyms and studios. 1FIT Debrecen got all the coders ranked figured out! CodersRank Kharkiv is complete solution digital assets management! Pics.io Minsk, Belarus with 243 votes is the first blockchain-powered sports media platform. Scorum Moscow, Russian Federation 1 e-grocery company in Russia with 26 votes and #1 on our HackerNoon board for Minsk. SberMarket Saint Petersburg, Russian Federation leads this area as a personal finance application that rewards responsible spending and savings. CoinKeeper Kazan, Russian Federation Smelling a sweet victory? 3d App designers for flower bouquets is in the house! Flowito Western Europe 🔥 Brexit? Pandemic? It seems like startups in Western Europe still keep their spirits regardless. Startups in Western Europe that stood out in votes this year go to: Antwerp is on a streak! As a bug bounty platform, it ensures online security through a crowd-sourced platform for computer experts. intigriti Belfast A record-breaking 10,003 votes? is an independent coffee shop. Come grab a coffee! Bobs & Berts Birmingham What’s happening in Birmingham? We have , an innovative UK-based advanced lithium battery developer aiming to accelerate the global shift to cleaner. Aceleron Bordeaux 30 is an open-source web framework for building modern apps and websites with Vue.js. NuxtJS Boulogne-billancourt is a software company that provides an in-store analytics platform to optimize operations. DiGEiZ Brighton In for some jam? offers musical education services. BIMM Bristol Another tasty victory for Western Europe is enabling the strongest digital encryption on the internet. KETS Quantum Security Brussels A fashionable win for , a social fashion network. You scan barcodes in fashion shops and see every influencer wearing those outfits! Share your wishlist with your friends and earn cashback. SCANDALOOK Cardiff is a technology company developing end-to-end digital connectivity for the point-of-care diagnostics market. Bond Digital Health London A whooping number of 1085 vote__ __ offers hardware based cyber-security solution for authentication and encryption in a wired local network. Crypto Quantique Edinburgh Hopping up on the crypto movement, just launched last year but they are already rocking it at making crypto accessible to everyone. Zumo Ghent 5379 votes for ! A Belgian InsurTech startup that helps insurance providers all over the world to better connect with their digital customers. WeGroup Glasgow specializes in single-cell analysis transforming the life sciences. Biomage Paris Show some love in the city of love for , a sports platform that is connected to a mobile sports coaching application. AirFit Aberystwyth enables artificial intelligence, data science & digital innovation solutions for the agriculture, biotech & life sciences industries. Agxio Norwich Congratulations for the amazing win of 1124 votes! WATR Charleroi Congratulations for your amazing win! Hirering Gibraltar Give a round of applause to Fortknoxter! Waltham Abbey is ruling the area with its amazing 72 votes! RPAIR Antwerpen Rocking up Antwerpen area is the rising startup ! Willow Egham What’s happening in Egham? Proudly announcing winning the Noonies this year! ATA.ONE Leicester Leicester is calling the name of as the winner for the region! DeadHappy Macclesfield Who else but ? Congratulations on dominating the award! AeroCloud Northern Europe 🔥 Want to listen to some music? Spotify. Need some games to kill time? Candy Crush. What about a quick call to someone you haven’t seen in a long time? Skype. These are all startups that originated from Northern Europe! Noonies, let’s take a look at the upcoming generation of startups from Northern Europe that hopefully will see an even bigger and brighter future. Gothenburg, Sweden Shipping was never made for small shippers, so took on the mission to built an end-to-end logistics platform to empower small businesses to spend less time and money on shipping and more time on growing their businesses. Sendify The Netherlands provides a virtual platform for many kinds of conferences and events. Let's Get Digital Helsinki, Finland A curated collection of public basketball courts in the Helsinki Metropolitan Area called . Everyone is welcome to submit to their local court. Koripallopaikat Lund, Sweden develops an antibiotic-free, safe and effective treatment of vaginal fungal infections. Gedea Biotech Luxembourg, Luxembourg 🚀 is a job-matching platform that connects developers and tech experts with CTOs and team leads from the best tech companies across Europe. 👾 nexten.io Malmö, Sweden Feeling studious, Noonies? __ __e is a tool for Google Classroom, that enables formative matrix assessment towards course learning objectives directly. StudyBe Oslo, Norway is the platform supports a unified API across all connected device categories, removing significant friction for app developers. Domos Labs Reykjavík, Iceland __ __s is a mobile-first technologically advanced neo-bank. Indo service #S__ __ tockholm, Sweden is the biggest blockchain start-up in Sweden. Double winner of the most prestigious nomination in Nordics 'NyTeknik 33-listan', winner of the Deloitte Fast 50, and now Noonies Award! ChromaWay AB T__ __ allinn, Estonia Passing 1000 votes is a fully digital and decentralized ecosystem for all actors in supply chain. OBORTECH Vilnius, Lithuania is an easy-to-use money app for cards and accounts. Via Genome, users can open a business or a merchant account or a personal one with dedicated IBANs, access transfers, exchange currency, process payments, and manage the funds. Genome Aalborg Digura A legaltech offering tenants fast, digital and reliable legal assistance Aarhus Partisia Market Design provides secure, simple, efficient solutions for auctions and exchanges realizing the potential of the market. Helsingborg is a hi-tech company developing cardiac occlusion devices and other vascular implants. Occlutech Tallinna is an AI-powered system for marketing automation in social networks. POSTOPLAN 🔥 Southern Europe Southern Europe’s economy went through a hard time this year due to a huge reduction in tourism. But our startups are of course always headstrong, from Spain to Italy and all the way through Greece. Who are the heroes rising amidst changes of Southern Europe? Skopje is a versatile software development company that solves the business challenges of SMBs, big brands, and brave hearts with awesome ideas. CodeChem Sliema Sounds like just a relaxing exhale. is a holistic health and wellbeing app built to allow users work on the development of their physical, mental and spiritual health Few Tajonar is a company of experienced business & industry entrepreneurs offering solutions to industries based on cutting-edge technologies. das-Nano Tarragona is a technology-based company focusing on the production of integrated microsystems. IMICROQ Terni is an ICT-based integrated solution that is able to modulate, respond, assist and learn to control most home activities. Mind Tirana is a video content and e-commerce platform for the Balkans built on top of an Albanian language specialized search engine. Gjirafa Torino develops and commercializes algorithms based on Artificial Intelligence to increase the autonomy of small satellite missions. AIKO T__ __ orres Buy online groceries like you would buy offline with personalized picking as fast as in 4 hours with Vedras 360hyper! Trento is a music-based platform built around streaming platforms that allow users to discover new emerging artists and make new friends. Brots 2021, what a YEAR. Congratulations to all of the startups that made it to the top winning list for Europe! Stay tuned for Startup awards in 2022 and let’s cheers to a new year of more innovative ideas, bold innovations, and robust creations from you, Europe 🌷 More Information: If you’re a winner, please answer ! If you’re a reader, participant, just a curious individual, consider answering one of our interviews . this interview here Read the FAQs about or . Startups here here To see all of the winners you may visit , pick any city and view the name that appears at the top. this site If you’re interested in partnering with us, we invite you to look through some of these or reach out to our business department. unique sponsorship options Perhaps creating your very own tickles your fancy or maybe you have a whole new idea for how we can partner! writing contest Thank you to all of our sponsors! We truly appreciate your contribution to the tech world and thus the future! The Startups Awards are sponsored by: , , , , , , , , , , Blockster Brex FreeCodeCamp LaunchDarkly Coil Udacity Udemy Vercel Asia Pacific Transgender Network Bybit Everscale Network This post was written by An Le and edited by Natasha Nel. If you have any questions or concerns or would like to report a discrepancy please email ellen@hackernoon.com.

Meet the Winners of Startups in Europe

No more than a dozen years ago reliability of the blockchain technology was doubted, but by the start of 2020, most professionals have recognized it as a smart solution to business challenges. According to Deloitte’s 2019 Global Blockchain Survey of more than 1,300 senior executives at companies with the annual revenue of $100-500 million, 40% of respondents said their companies were willing to invest $5 million or more in blockchain initiatives. What’s more, the number of companies considering blockchain crucial for their business increased by 10%. The continuously growing demand for blockchain development companies gave a chance for many custom software providers to succeed by including the blockchain technology into their services. How to find a trustworthy blockchain development company? The blockchain expertise is made up of multiple factors, that’s why finding a proficient blockchain services provider appears to be a challenge — unless you know which criteria to consider. To make the task easier for you, we’ve analyzed a number of blockchain consulting companies and compared their characteristics across the five points below: Blockchain expertise Major clients Offering strategy Market responsiveness Client reviews Explority presents the best blockchain development companies of 2020 1. Itransition Launched in 1998, Itransition has grown from 25 passionate professionals into an international company delivering its services in custom software development all around the globe. Itransition’s experience is based on 1,500+ projects completed for 800 clients, the major of them including PayPal, Cisco, adidas, Xerox, and Philips. Full-cycle blockchain solution development, smart contract deployment and audit, and ICO development are by far just a fraction of the services Itransition delivers. By implementing the blockchain technology, the company helps its clients to secure transactions, prevent fraud, and better control data. Key facts: Since 1998 Headquartered in Denver, CO​ Team: 1000-9999 Clients include startups and Fortune 500 companies 30+ countries served On the Clutch list of Top Custom Software Developers since 2014 2. MobiDev MobiDev is a full-scale mobile software company with more than 350 successfully completed projects for clients from 20+ countries. With about 300 professional developers on board, it delivers a number of IT services, including blockchain development. MobiDev focuses on Hyperledger and Ethereum blockchains for its decentralized enterprise-level applications. Key facts: Since 2009 Headquartered in Atlanta, GA Team: 250-999 Offices in the U.S., UK, and Ukraine Featured as #1 Machine Learning Development Company of 2019 by Clutch 3. Aplana Software Services Aplana Software Services is a custom software development company with about 1,500 projects carried out over the course of more than 20 years. With a team of 500 developers, the company creates solutions based on emerging technologies in such industries as Finance, Food, and Logistics. Among their services, Aplana offers custom blockchain solutions, including smart contracts, ICO platforms development, and more. Key facts: Since 1999 Headquartered in Huntingdon Valley, PA Team: 250-999 Partnership statuses with IBM, Fujitsu, Oracle Received IBM Group Business Partner Award in 2007 Became the Microsoft Smart Client Development Partner of the Year in 2008 4. Softeq With their headquarters in Texas, Softeq has been providing full-stack development services for companies all over the world for almost 23 years now. This includes the following blockchain solutions: smart contracts, ICO, decentralized apps, and blockchain ecosystems. Above other reasons, Softeq is listed among top blockchain consulting companies for its experience of working with clients in Sports, Healthcare, Finance, and Real Estate. The company specializes in such blockchain platforms and languages as Ethereum, Hyperledger, Solidity, and more. Key facts: Since 1997 Headquartered in Houston, TX Team: 50-249 75% of employees at expert and senior levels Offices in the U.S., Germany, and Belarus A Microsoft Gold Partner 5. Waverley Software Waverley Software was established in 1992 in Silicon Valley. Besides providing full-cycle custom software engineering services, Waverley presents itself as a blockchain development company. The company offers blockchain consulting, ICO, smart contract and blockchain-powered mobile app development using such blockchain frameworks as Hyperledger, Ethereum, and Monax. Key facts: Since 1992 Headquartered in Palo Alto, CA Team: 50-249 80% of clients are long-term 20% of team members with Ph.D. degrees 6. Parangat Technologies Paragant Technologies has won their position among top blockchain consulting companies due to the high quality of their blockchain consulting, product audit and testing, ICO creation and smart contract development. In almost 10 years, the team of 75 professionals have carried out more than a hundred projects, focusing mostly on such industries as Ecommerce, Healthcare, Logistics, and Food. Key facts: Since 2010 Headquartered in Noida, India Team: 50-249 Listed among Top Developers of 2019 by Clutch Locations in India, Australia, the U.S., the UK, and Ireland 7. JatApp JatApp was launched eight years ago and grew into a full-cycle enterprise software development company that performs mobile apps development, UI/UX design, and blockchain-powered product development. The company implements smart contracts, exchange platforms, and transparent payment systems for Manufacturing, Finance, Supply Chain and other industries, and has successfully completed more than 200 projects overall. Key facts: Since 2010 Headquartered in Miami, FL Team: 50-249 Featured among Top App Developers in Ukraine in 2020 by Clutch Offices in the U.S. and Ukraine 8. *instinctools Among many other blockchain companies, *instinctools is sure to be mentioned. The company has grown to 200 employees in five years, and now delivers blockchain solutions to such industries as Healthcare, Education and Finance. *instinctools specializes in blockchain consulting, end-to-end blockchain development, smart contracts, and ICO. Key facts: Since 2015 Headquartered in Stuttgart, Germany Team: 250-999 Implements Ethereum, MultiChain, Corda, Solidity, and Hyperledger Offices in Germany and Belarus 9. AXIOMA AXIOMA is a blockchain development company based in Latvia. Founded in 2009, the company has successfully introduced a number of blockchain solutions for Gaming, Fintech and Ecommerce industries. Blockchain development provided by AXIOMA includes smart contracts for Ethereum, RSK network implementations, fork development, ICO, and consulting. Key facts: Since 2009 Headquartered in Riga, Latvia Team: 10-49 Listed in Top B2B Companies in Latvia in 2019 by Clutch Offices in Latvia and the UK 10. Venture Aviator Venture Aviator was established nine years ago as a startup, and now it’s a team of more than 50 professionals who completed 100+ projects. It became one of the leading software development companies in the U.S., providing such blockchain solutions as ICO, smart contract and Dapp development, consulting, and product support. Venture Aviator’s offices are based in the United States, from where they deliver blockchain solutions to companies all over the world. Key facts: Since 2011 Headquartered in New York, NY Team: 10-49 Listed among the Fastest Growing Companies in the U.S. on the Inc. 5000 list in 2017 Over $150 million raised by their blockchain development clients via venture funding Offices in Los Angeles, New York, and San Francisco The rest of the top blockchain companies in 2020 look like this: 11. Accubits Technologies Inc. Accubits Technologies is a software development company with the headquarters in Washington, D.C. and 10 offices all around the globe. Their services include smart contracts, Dapps, and crypto token development using such technologies as Ethereum, Hyperledger, Corda, and others. The company has successfully carried out about 600 projects for more than 140 clients. Accubits’ major targets are Retail, Finance and Manufacturing industries. Key facts: Since 2012 Headquartered in Vienna, VA Team: 50-249 Listed among Top B2B Companies in Norway in 2018 by Clutch Offices in 10 countries, including Australia, Canada, India, and Switzerland 12. DevProvider Established nine years ago in Pakistan, DevProvider is one of the few blockchain companies that employ a full range of blockchain technologies and platforms in their development services. Among their solutions are cryptocurrencies, Dapps, wallets, blockchain-powered apps, and more. Using Solidity, Golang and other languages, the company delivers high-quality solutions for Retail, Gaming and Real Estate industries. Key facts: Since 2011 Headquartered in Islamabad, Pakistan Team: 10-49 The full stack of blockchain technologies and platforms Named the Best Blockchain Company in Pakistan in 2020 by Clutch 13. Ionixx Technologies Providing various blockchain solutions, such as Dapps, ICO, smart contract and wallet development, Ionixx Technologies deserves to be mentioned along with other blockchain technology companies. The company has offices in four countries and provides blockchain solutions for Logistics, Retail and Finance industries. Key facts: Since 2013 Headquartered in Chennai, India Team: 50-249 One of the top blockchain companies in India according to Clutch Listed among top software development companies on GoodFirms 14. 4IRE Labs 4IRE Labs is a team of professional developers who deliver high-quality blockchain services, including smart contracts and Dapp development based on Truffle, Solidity and Aragon. With headquarters in Ukraine, the company completes projects for clients all around the globe. 4IRE Labs implements the blockchain technology in Real Estate, Insurance, Finance and Agriculture industries. Key facts: Since 2010 Headquartered in Kyiv, Ukraine Team: 10-49 Listed among Top Blockchain Companies of 2019 on Techreviewer.co Locations in Ukraine, Estonia, and Sweden 15. Inn4Science A blockchain development company based in Nevada, Inn4Science specializes in Dapp and blockchain-powered platform development. The company also offers consulting, smart contracts and wallet development, and 24/7 support. Inn4Science’s team comprises over 40 professionals capable of providing their clients with excellent support during all project stages. Key facts: Since 2016 Headquartered in Las Vegas, NV Team: 10-49 Listed among Top Blockchain Development Companies by Clutch Works with 10+ blockchain technologies The last 5 blockchain consulting companies to keep in mind this year: 16. IdeaSoft Founded just four years ago, IdeaSoft has already worked with such companies as IBM and Bits Of Gold. The services of this software development company include private and public blockchain development, smart contracts, and hard forks, carried out by more than 100 developers. IdeaSoft focuses on providing their services for Fintech, Healthcare, and Logistics industries. Key facts: Since 2016 Headquartered in Kharkov, Ukraine Team: 50-249 200+ projects completed in 4 years Locations in 7 countries, including Norway, Israel, and Canada 17. Pixelplex Established in 2007 in New York, Pixelplex is one of those blockchain companies that never stands still, constantly mastering new technologies. With 80+ experts on their team, the company completed more than 50 blockchain projects for a number of industries, including Media & Entertainment, Gaming, Healthcare, and Fintech. Among Pixelplex’s blockchain-related services are custom development and integration, Dapp, wallet and ICO development, consulting, and audit. Key facts: Since 2007 Headquartered in New York, NY Team: 50-249 Offices in the U.S., South Korea, Switzerland, and Belarus Listed among Top Enterprise App Development Companies of 2019 by Clutch 18. LimeChain Not all blockchain development companies offer UX/UI design as a part of their services, and that’s what gives LimeChain an advantage. Founded less than three years ago, the company quickly gained respect for its creative approach and blockchain solutions powered by UX design. LimeChain delivers the following services: public and private blockchain development, audit, smart contract and Dapp development. The company’s portfolio includes such clients as Arxum, Raiffeisen Bank, and Procter & Gamble. Key facts: Since 2017 Headquartered in Sofia, Bulgaria Team: 10-49 Listed among B2B Leaders in Bulgaria in 2019 by Clutch 19. Around25 Around25 is a full-stack product development company founded in Romania more than 14 years ago. The company delivers high-quality blockchain solutions, including smart contracts, ICO, and in-app Bitcoin payments. The team of 30+ specialists has successfully completed about 80 projects, focusing on such industries as Ecommerce, Real Estate, and Consumer Products. Key facts: Since 2006 Headquartered in Cluj-Napoca, Romania Team: 10-49 On the Clutch list of Top App Developers in Romania 20. MixBytes Established in Moscow, Russia, only three years ago, MixBytes have already made a name for themselves among blockchain technology companies. The services provided by the company include smart contract audit and development, Dapp and ICO development, mostly based on such languages as Solidity, Rust, and Python. MixBytes’ most notable clients are Trust Wallet, Kickico and Poa Network. Key facts: Since 2017 Headquartered in Moscow, Russia Team: 10-49 Listed among Top Web Development Companies of 2019 on Techreviewer.co On theClutch list of Top Blockchain Companies & Startups

Top 20 Blockchain Development Companies to keep tabs on in 2020

30 Top Blockchain Development Companies in 2019

Blockchain development services are becoming essential for businesses. Blockchain technology and apps have the ability to decentralize power from existing authorities through the use of smart contracts, cryptocurrency and asset ownership. But choosing the best blockchain companies can indeed be a tedious task. If you get lost in companies’ variety, this listing of top blockchain technology companies will help you make a choice in the right direction. The list contains the biggest players of blockchain development, design, application building and customization. How to choose the right blockchain technology company? Before we start, there are things you should consider to choose a reliable partner. : offshore, onshore or nearshore. Determine the type of outsourcing vendor : USA, Europe, Asia etc. At the first look, it may not appear that important. But note that service cost and quality depend on it. Check your provider location the company offers. Check out services, technologies and programming languages A good sign is when the company has experience of implementing an application in similar fields. Look at clients’ reviews and previous projects. VironIT VironIT company has become a Member of Blockchain Association. VironIT is a custom software development company with a primary focus on delivering end-to-end software development services. The company helps to gain an advantage before competitors bringing more transparency to business with the power of IBM Hyperledger, smart contracts and mobiles apps, integrated into blockchain. VironIT provides blockchain consulting, delivers proofs-of-concept and brings clarity and mutual understanding of this technology. VironIT is a member company of Belarus High Technology Park, a government-supported business environment for IT companies in Eastern Europe. LeewayHertz LeewayHertz is a custom software development company for startups and enterprises. The company develops, deploys and maintains digital technology products. Focusing on Blockchain, AI, mobile apps, IoT and Cloud platforms, LeewayHertz builds end-to-end solutions for businesses. LeewayHertz has launched over 100+ digital platforms. LeewayHertz provides the following enterprise solutions: Blockchain applications — dApps Artificial intelligence enabled products Mobile Apps: iOS, Android, cross-platform SaaS solution development IoT enabled apps AR/VR solutions ArcTouch ArcTouch is a mobile development company. The company builds software that powers the IoT, including custom iOS, Android, and Xamarin apps, as well as AI bots for conversational platforms like Amazon Alexa and Facebook Messenger. Its services include app strategy, design, engineering and lifecycle management, and can be tailored to meet specific business needs — from defining strategy, to user experience & visual design, to engineering & testing, and optimization & growth. Intellectsoft Established in 2007, Intellectsoft is a software development company with a strong focus on emerging technology like Blockchain, Augmented Reality, Big Data, Internet of Things and Artificial Intelligence. Intellectsoft services include strategic IT consulting, team extension, bespoke product and app engineering, DevOps, testing and maintenance. This USA based company is one of the newest and promising blockchain team. They are experts in cryptocurrency hard forks, KYC/AML compliance, smart contracts audit services, distributed applications and private/public blockchain development. Itransition Itransition provides custom multi-tenant cloud-based Software-as-a-Service solutions. It offers IT strategy and consulting, application development, product engineering, systems integration, quality assurance and testing, application management, maintenance and support, and development and operations support services. The company provides digital engagement solutions in the areas of customer experience and engagement, digital content, omnichannel commerce, personal productivity, and social technology; and digital enterprise solutions, including business process management, collaboration, big data and analytics, data management, infrastructure management, and business intelligence. Itransition is headquartered in Lakewood, Colorado with additional offices in United Kingdom and Belarus. Unicsoft Unicsoft delivers software products, powered by Blockchain and AI technologies, for enterprises and fast-growing startups. The company analyzes customers’ goals and builds long-lasting relationships with companies in the United States, United Kingdom, Germany and Israel. Unicsoft focus on cutting-edge technologies such as Blockchain, Artificial Intelligence, Machine Learning and Data Science. Altoros Altoros is a 300+ people strong consultancy that helps organizations with a methodology, training, technology building blocks, and end-to-end solution development. The company turns cloud-native app development, customer analytics, blockchain, and artificial intelligence into products with a sustainable competitive advantage. Being a Silver Member of the Cloud Foundry Foundation, Altoros stands behind one of the largest Cloud Foundry deployments. Headquartered in Silicon Valley (Sunnyvale, California), Altoros has a sales office in Western Massachusetts, branch offices in Norway, Denmark, and UK, as well as software development centers in Eastern Europe (Minsk, Belarus) and South America (Buenos Aires / Santa Fe, Argentina). Oxagile Oxagile is an internationally established outsourcing company with a primary focus on delivering end-to-end software development services across a range of verticals and business domains. One of the company’s core areas of expertise lies in developing custom video streaming, hybrid TV, OTT, IPTV and VoD solutions. Oxagile’s engineers are experienced in building products of any complexity. The company’s portfolio includes mission-critical web applications, cloud-based business process automation solutions, ERP systems, and enterprise-grade mobile apps for all the major platforms. Neoteric Neoteric is a dynamic, innovative and highly driven enterprise, primarily active in the IT sector. The company combines the agile approach to projects with the best software engineering practices. Its team believes that crafting software is about understanding business needs and delivering software that brings profit. Neoteric focus on using cutting-edge technologies that are really up-to-date which pushes us to evolve our skills. The company has great experience in creating startup projects for investors, implementing complex process automation solutions and working with blockchain technologies. Appinventiv Founded in 2014 in New York, Appinventiv provides a range of blockchain services to its customers. Some of their areas of excellence include initial coin offering, smart contract, cryptocurrencies, Bitcoin, Ethereum, tech audit and IoT in the blockchain. Appinventiv also provides valuable advice to startups who are thinking to raise an ICO. Its team of blockchain marketers, designers and developers know how to employ the tools to help you work in a decentralized ecosystem. Innovecs Innovecs specializes in blockchain application development, distributed document management, money transfer solutions, loyalty programs, and enterprise cryptocurrency platforms. Innovecs expertise extends to business intelligence and Big Data, AI, QA automation, hybrid apps, and DevOps. Coinfabrik Coinfabrik has more than 20 years of experience in developing and reviewing security applications. Since the emergence of Bitcoin they have also been very active in the cryptocurrency space, designing new cryptocurrency protocols and discovering many security vulnerabilities in blockchain technology. The services of this blockchain development company expand to assisting customers with defining product specifications, creating UI & UX designs, integrating applications, deploying hybrid cloud environment products, and providing QA services along with continuous support. The company offers a couple of core blockchain services, including smart contracts development and audit, as well as proof-of-existence (PoE) platforms, blockchain-based exchanges and wallets. Empirica The Empirica software solutions range from a cryptocurrency algorithmic trading platform to crypto asset management to ICO investor portal. This blockchain company also uses the technology for arbitrage and other trading applications of cryptocurrencies. The company’s services include blockchain systems development, like multi-signature wallets and exchanges, ICO services and smart contracts on Ethereum. Empirica addresses a wide spectrum of financial categories where blockchain technology can be used, including trade finance, loans, equity post-trade processing, peer-to-peer (P2P) systems, automated compliance auditing, and more. Kamtor Kamtor is a blockchain-focused development company which provides advanced solutions based on private and public blockchains such as Hyperledger, R3, EOS, Ethereum and others. This blockchain software development company offers solutions and services for various types of businesses. Kamtor services include: ICO development Smart contract development (Ethereum, EOS, HyperLedger) Cryptocurrencies & wallets creation Distributed applications (DApps) on Ethereum & EOS Private blockchain N-iX N-iX is a software development outsourcing provider with the main focus on data science, big data analytics, blockchain, BI, AI, cloud solutions, VR & AR and embedded software. The company has experience in blockchain software development. It specializes in a diverse tech stack and major blockchain-related programming language. N-iX team builds custom blockchain solutions on Ethereum, Hyperledger Fabric, and R3 Corda. Its programmers are well-versed in smart contracts development using these major platforms. Espeo Software Espeo Software is a software development firm that specializes in software development, design, and testing. Its expertise includes web and mobile products development and blockchain solutions. The team may carry out the whole blockchain product creation process from consulting to product development. Also, Espeo Software offers initial coin offering launch and related services. Concise Software Concise Software is a Poland-based software development company which specializes in blockchain solutions, smart contracts, dApps, mobile & connected vehicles, web development & more. The company has experience in implementing blockchains, smart contracts, and simple automated decentralized apps based on Ethereum blockchain and other platforms. It offers cryptocurrency payments integration into e-commerce, secure cryptocurrency payment processors, dApps with smart contracts on Ethereum blockchain, Ethereum token systems and digital wallets. LimeChain LimeChain is a blockchain software development company specializing in blockchain consulting and development. This software development firm offers both private and public blockchain development, blockchain audits, smart contract development and audit. The company helped IPChain implement blockchain technology for providing security at the first stages of patent applications. Moreover, its software engineering team developed a blockchain end for Healthbase, the company that uses blockchain technology to transform healthcare research. 10Clouds 10Clouds is a software development and design company. The company focuses on financial technology, online education and healthcare. This vendor has broad expertise in blockchain and has implemented several projects using this technology. It specializes in smart contacts development, Ethereum development and crowdsale. Its software engineers built a Blockchain decentralized marketplace for Adshares. They developed a platform that connects advertisers and publishers and enables making deals using cryptocurrency. Finding your blockchain partner is a tricky thing. It takes time and effort, more so if you plan that blockchain will be a big gear in your business. But I hope this guide will help you find the right blockchain technology provider to boost your business to the next level.

19 Top Blockchain Development Companies

It is clear that blockchain is the technology of the future. And now it’s not only about cryptocurrencies. Everyone can create any decentralized on the blockchain which will be not subordinate to any organization, whether it is commercial or state. Only computer algorithm that embedded in blockchain can control this technology. applications Blockchain frameworks were invented to speed up and simplify the process of developing blockchain-based apps. A framework is a soft that provides generic functionality. Developers can make selective changes in it to get the desired app. So it turns out that framework is a kind of ‘dummy’ which helps ‘cut out’ any final product. Now remember 2015 year when 42 largest banks joined to each other to create a blockchain framework called . Later several more banks joined to them and total number of firms entering the consortium became more than 200. The purpose of this project is the creation of a blockchain framework specifically for the banking, financial and insurance spheres. R3 Corda It was conceived that this framework will create new non-existent earlier blockchains for business purposes. As you see any corporation can make its own blockchain with any properties for its needs. At first glance it sounds good, but in fact this banking cartel lost sight of key property of the blockchain — decentralization. Due to its decentralization blockchain is very vulnerable to “ ”, which means that some attacker who takes control over more than 50% of the processing capacity of the network will be able to change any information stored in the blockchain. 51% Attack At the moment the bitcoin network hashrate is 35.8 million THash/s, high-end bitcoin miner from has a computational speed of 14 THash/s at a price of $700 which makes the cost of hacking the bitcoin network about $ 1.8 billion. But actually you can not buy such number of miners anywhere. The maximum numbers that produce factories counted by thousands or more than tens thousands but you need 2.5 million devices. Bitmain In addition as popularity of bitcoin is increasing this amount may be up to 10x larger. All this count suggests that bitcoin is very strongly protected from 51% attack. And now a question — how will blockchain built on the Corda framework by R3 be protected? The answer is — in no way. I doubt that Corporation X will invest $ 2 billion to protect its own blockchain. But progress doesn’t stand still and now the Hyperledger, Corda and others are replaced by . This is a new generation blockchain framework. Instead of creating a new blockchain Hashbon works as a virtual blockchain using top of several already existing reliable blockchains — bitcoin, litecoin, dash, monero, zcash. Hashbon In addition to protection from 51% attack this approach offers the number of advantages. In particular Hashbon selects the necessary livechain with the least commission right now. It helps avoid the “Cryptokitties Effect”. Remember how such has blocked the work of Ethereum for a long time, which made impossible to upload new smart contracts to the network. epidemic of Cryptokitties I want to wish a good luck to a small but strong startup “ ” from the Eastern Europe in its struggle against the banking cartel. Hashbon

51% Attack vs Banking Cartel

Compliance comes to DeFi - A Game Changer Currently, none of the DEXs such as Uniswap, Sushiswap, Pancakeswap are regulated by any regulator in any part of the world; compliance is non-existent in DeFi the wild wild west. Timechain, a Canadian registered Money Services Business (MSB) through TimeSwap, a decentralized exchange aggregator and permissionless lending and borrowing protocol actively regulated by Financial Transactions and Reports Analysis Centre of Canada (FINTRAC) and AMF released the first compliant Automated Market Maker (AMM) liquidity pools, yield farming and staking functionality. In the DeFi industry, compliance implies that participants follow the same standards as traditional financial services. The regulations governing capital markets and the overall financial industry vary by state and government, but they are divided into three categories: Know Your Customer (KYC), Anti Money Laundering (AML), and Countering Terrorism Financing (CFT). DeFi’s main selling point is its connection to blockchain technology, promoting decentralization. As a result, DeFi activities are also permissionless, in contrast to the existing system, which needs potential users to pass through a slew of regulatory verification procedures before they can engage in the global economy. Due to the fact that DeFi initiatives allow users to join and exit at their leisure, compliance has been a problem. They’re also resistant to censorship, which makes compliance even more difficult. In the DeFi area, compliance implies that applications must follow KYC, AML, and CFT requirements, impacting users and enabling collaboration with traditional financial institutions. Furthermore, adhering to standard financial regulatory rules can lead to widespread adoption and help a more significant number of individuals. Staking, yield farming, and liquidity provisioning are all necessary elements for a successful DEX since they let users earn passive income while safeguarding the network and confirming transactions. How does regulated DEX work? The new liquidity pools reward users that offer liquidity to the DEX with fees produced by transactions on the platform, as well as LP tokens that may be put into farming pools for extra rewards. Users contribute liquidity to existing pools by exchanging equal amounts of the two tokens in the pair for LP tokens, which represent their share of the liquidity pool. The LP tokens  generate fees equal to each user’s pool share, and they may be redeemed at any moment. DeFi Compliance - The Future of Exchanges According to the FATF report, the use of anonymous tools and procedures is on the rise, making it difficult to discover unlawful financial operations such as fraud and money laundering. The DeFi business cannot expect a free ride when it comes to compliance and should expect to be held to the same standards as traditional financial institutions. If a DEX trades equities (or tokens representing stocks), it must adhere to the same security rules and regulations as stock exchanges. A DeFi payments firm should also check the rules governing money service businesses. Effective KYC checks are a standard regulatory need across all financial industries. Any DeFi protocol that allows financial transactions without requiring identity verification is a potential magnet for criminally contaminated monies derived from bribery and corruption, fraud, ransomware, drugs, and terrorism. Simply said, regulators will not allow these loopholes for criminals to move money, and any company that facilitates such operations will be subject to heavy penalties, including fines, sanctions, or outright bans. Starting with the present regulatory criteria is a sensible step for organizations that wish to contribute to the sector’s long-term growth and participate in the next phase of the fintech revolution. Don’t forget to like this story!

Timechain one of the First Licensed DEX Aggregator brings Compliance to Fantom, BSC and Ethereum 

Overview According to statistics, there were 21 funding rounds executed in the global blockchain market from February 12 to February 18, totaling 137 million dollars. The number of funding rounds increased by 1, and the amount of funds increased by 30.47% compared with the previous week. The number of funding rounds in the infrastructure and DeFi sectors is the highest, 7 of which are in the infrastructure sector and 4 in the DeFi area. The funds raised in the infrastructure sector are the highest, which is 46.5 million dollars. Funding in different sectors Infrastructure Analog Round / Amount $16M Investors NGC Ventures, Tribe Capital, Alumni Ventures Analog is a completely decentralized layer-0 platform for communicating validated event data with the Proof-of-Time consensus mechanism. At the core of the platform are tesseracts and time nodes that can privately fetch and confirm event data from sovereign chains, allowing different ecosystems to speak the same language. Analog aims to bring trustless, omnichain interoperability, enabling developers to build their applications via a universal protocol and an API. Additionally, Analog is unveiling a novel, superfast PoT protocol that creates verifiable event data on the Timechain, allowing DApp developers to build next-generation event-based applications. Project Intro: The testnet is now live! Enter your email to join the waiting list, and we already have nearly 100,000 reservations. In this phase, we've introduced a point system where you can accumulate Spot by completing tasks such as following Twitter, joining the community, and more. After registering, head to the Web3 platform TaskOn to complete tasks and participate in Analog's Valentine's Day event on the platform for a chance to win rewards. Important Information: Lava Network Round Seed Amount $15M Investors Hashkey Capital, Triple Capital Lava Network aims to be a marketplace for blockchain data. It incentivizes node providers and decentralized application users to enter marketplace blockchain data onto its network in the same way that Airbnb allows owners to monetize their unused space. The protocol enforces data quality, enabling node operators to use their bandwidth. Fordefi Round / Amount $10M Investors Electric Capital, Paxos Fordefi is an institutional MPC wallet and security platform that enables institutions to interact across different blockchains. Sphinx Round Pre-Seed Amount $2M Investors Archetype, Nascent Sphinx is a DevOps platform for deploying and managing smart contracts built for Foundry users. Sphinx gives developers confidence in their deployment process by eliminating the manual work of creating, approving, executing, and verifying deployments on every chain. NodeKit Round / Amount / Investors a16z, Polygon Ventures NodeKit SEQ is a decentralized shared sequencer built into a custom L1 blockchain, which allows rollups to decentralize their sequencer and increase cross-rollup interoperability. With NodeKit, SEQ rollups can easily submit transactions to a decentralized shared sequencer, which makes it easier to launch a rollup that is decentralized from the start and helps users perform cross-rollup transactions. WITNESS Round Seed Amount $3.5M Investors Coinbase, Haun Ventures Witness unlocks Web3 ownership and incentives at the Web2 scale. Anyone can use Witness to create verifiable provenance and issue digital ownership for any data without the upfront friction or cost of blockchains. This allows developers to build traditionally scalable applications that benefit from Web3 incentives. DePHY Round Seed Amount / Investors Foresight Ventures DePHY is an all-in-one DePIN framework that drastically decreases the cost and timeframe associated with DePIN project development. DePHY provides open-source hardware solutions, a decentralized messaging layer, and automatic tokenomics execution for all DePIN projects. DePHY’s messaging layer facilitates the secure, verifiable, and swift transfer of data from hardware to the blockchain, utilizing Trusted Execution Environment (TEE) and Zero-Knowledge (ZK) Oracles to guarantee data verifiability and low latency. DeFi Ethena Round Strategic Amount $14M Investors Dragonfly, BH Digital Ethena is building derivative infrastructure to enable Ethereum to transform into the Global Internet Bond via delta-neutral positions on stETH, to create the first crypto-native, yield-bearing stablecoin: USDE. Concrete Round / Amount $7.5M Investors Hashed, Tribe Capital Concrete is the native base protocol to generate credit products and derivatives. It additionally opens the gateway to build an entirely new set of financial primitives for on-chain assets using Concrete as the base layer of compute. At launch, Concrete will serve users across money markets such as Aave, Compound, Silo, and Radiant, regularly adding both established and emerging lenders. IntentX Round Strategic Amount $1.8M Investors Selini Capital, Mirana Ventures IntentX is an intent-based, decentralized derivatives exchange offering perpetual futures trading. The platform leverages several cutting-edge technologies, including LayerZero, a cross-chain communication protocol, account abstraction, and a zero-to-one breakthrough Request for Quotation (RFQ) architecture that addresses critical challenges in delivering on-chain derivatives. Hydro Protocol Round / Amount / Investors Vessel Capital, Injective Hydro Protocol is Injective Uehara Raw Quality Pressing Raw Product Partnership. 1:1 proportionate press INJ in the Injective community. Hydro's unique treatment is based on the underlying liquidity provider, which is a stimulating liquidity provider. GameFi Overworld Round Seed Amount $10M Investors Hashed, Spartan Group Overworld is a web-3-powered gaming and community project. It focuses on collective storytelling, utility-driven digital collectibles, and deep, engaging multiplayer gameplay. All of this is set in an ambitious fantasy universe. Ultiverse Round Strategic Amount $4M Investors Binance Labs, IDG Capital, Animoca Brands Ultiverse is the social gaming metaverse that connects Web3 with an immersive, fully VR-compatible virtual world of AAA quality. By empowering players of various economic abilities to build mutually beneficial relationships, Ultiverse aims to create a first-of-its-kind MetaFi. Exverse Round Private Amount $3M Investors Cogitent Ventures, Moonrock Capital Exverse is a free-to-play game bringing a fresh take on AAA first-person-shooters to Web3. Exverse’s three planets—Social, Quest, and Battle—cater to different playing styles while remaining interconnected within a single timeline, where users compete in cycles known as seasons, lasting eight weeks. The game is designed to foster community by allowing players to engage in social events and even develop user-generated worlds within an ever-expanding universe. NFT Watches.io Round Pre-Seed Amount $1.9M Investors Lemniscap, Big Brain Holdings Watches.io is the first end-to-end tracking and trading ecosystem for watches, enabling users to monitor their watch portfolios with precise, real-time market data, pursue diversification opportunities, and execute seamless buy/sell transactions. Watches.io is also the first e-commerce peer-to-peer marketplace for real physical items to be built on Web3 infrastructure. MetaStreet Round / Amount $25M Investors DragonFly,  Animoca Brands MetaStreet is a protocol for scaling liquidity in NFT credit markets. Its primary product is a Capital Vault that enables secondary market liquidity for NFT-backed notes. Participants can deposit capital to earn yield from diversified portfolios of NFT-backed notes. Tools Helika Round Series A Amount $8M Investors Big Brain Holdings, Fenbushi Helika is a Web3 technology platform that provides real-time analytics and onboarding of new users to gaming studios and popular NFT collections. With a focus on integrating analytics from Web2, in-game, on-chain, and social media data, Helika helps top Web3 brands such as Yuga Labs and Treasure to understand their communities, increase user acquisition and engagement, and drive overall growth through a data-driven approach. Others Drosera Network Round Pre-Seed Amount $1.5M Investors Anagram, Arrington Capital Drosera is a decentralized incident response protocol that leverages hidden security intents to contain and mitigate exploits. It is an automation protocol that abstracts the complexity of creating monitoring systems and automated response capability for decentralized applications. Drosera offers a framework for creating and executing automated responses to events on the Ethereum network. MercureDAO Round / Amount $1.5M Investors / Mercure DAO is a Web3 Marketing Hub catering to crypto projects worldwide, such as Incubation Services, Social Media Marketing (SMM), Influencer Marketing, Public Relations (PR), and so on. Metropolis Round / Amount $1.2M Investors Protocol Labs, Outlier Ventures Metropolis is a carefully curated, artist-created virtual world complete with a digital-physical marketplace, exclusive events, and end-to-end game features. At the heart of MetropolisX is a collaboration marketplace where creators can monetize and launch personalized products and where their fans can have a more immersive connection and access exclusive products, content & experiences. This unique approach combines digital and physical identity, gaming, and immersive experiences. CeFi Architect Round / Amount $12M Investors BlockTower Capital, Tioga Capital Architect provides traders with an adaptable infrastructure that redefines access to global digital asset markets, making it easier for large investors such as institutions to use both centralized and decentralized crypto markets.

The Crypto Investment Weekly Recap for Feb 12 - Feb 18

268 Stories To Learn About Trading

How to Effectively Evaluate Your RAG + LLM Applications

কীভাবে কার্যকরভাবে আপনার RAG + LLM অ্যাপ্লিকেশনগুলিকে মূল্যায়ন করবেন

So bewerten Sie Ihre RAG- und LLM-Anwendungen effektiv

Cómo evaluar eficazmente sus solicitudes RAG + LLM

Comment évaluer efficacement vos candidatures RAG + LLM

अपने आरएजी + एलएलएम अनुप्रयोगों का प्रभावी ढंग से मूल्यांकन कैसे करें

RAG + LLM アプリケーションを効果的に評価する方法

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The advent of language models has ignited a revolution, reshaping the landscape of and text data interaction. With pre-trained language models at our disposal, the barriers to creating powerful applications with smaller datasets have been significantly lowered, exemplified by the vast spectrum of applications emerging from GPT-based models. Among these exciting applications lies the intriguing ability to engage in meaningful conversations with PDF documents. computer vision This article delves into the significance of utilizing open-source language models, showcasing their immense potential for building exceptional chatbots without the need for extensive training data. We will explore how open-source language models empower developers to create chatbots even in data-limited scenarios, providing a comprehensive tutorial on building such chatbots using these accessible and powerful tools. Why Use Open Source Language Models? The utilization of open-source language models is essential due to the paramount concern for data security. By leveraging open-source models, organizations can build chatbots and other applications using private and sensitive documents as data, without the apprehension of data misuse by enterprise language models. Open-source models offer the advantage of providing access to the intricate layers of the neural network, enabling a deeper understanding of the model's inner workings. Additionally, the transparency of open-source models facilitates the identification of information pertaining to the source of the document, allowing for greater accountability and traceability. Benefits of using Open Source Models Pretrained open-source models offer significant benefits, having already been trained on extensive corpora. These models possess a comprehensive understanding of language context and tone, which makes them highly effective right out of the box. In many cases, fine-tuning is either minimal or not required at all, similar to the transfer learning techniques employed in computer vision. This eliminates the need for additional training efforts. Notably, considerable research has focused on the remarkable zero-shot learning capabilities of language models. Leveraging these advancements, it is often unnecessary to fine-tune or train a pre-trained model, as they demonstrate impressive performance even without further modifications. This efficiency and effectiveness make open-source models a valuable resource for various natural language processing tasks. Dependencies: Before embarking on building a chatbot, it is crucial to ensure that the necessary dependencies are in place. There are three main components needed to build a powerful chatbot. Here’s the list - Firstly, selecting an open-source pre-trained language model is paramount. The offers a wide array of language models to choose from, catering to different requirements. In this tutorial, we will opt for a lightweight model that can efficiently run on GPU, eliminating the need for quantization. Selecting a pre-trained language model leaderboard Hugging Face - To streamline the process, we will utilize the , which simplifies data loading and embedding creation. By leveraging this framework, the complexities associated with data handling are reduced, enabling a more streamlined development experience. Data Engineering framework LangChain We will leverage the Hugging Face transformer framework, which provides a comprehensive set of tools for downloading and utilizing pre-trained language models. This framework offers seamless integration with various language models, ensuring a smooth implementation process for building the chatbot. Transformers - By having these dependencies in place, including the appropriate pre-trained language model, the LangChain framework, and the Hugging Face transformer framework, we lay the foundation for building a powerful and efficient chatbot solution. Tutorial: Let’s build a chatbot The tutorial is divided into two parts Generating a document embedding database a. Loading the Data from langchain.document_loaders import PyPDFLoader # for loading the pdf

pdf_folder_path = "YOUR FOLDER PATH"

#Use Langchain document loader to load the PDF Files
loader = PyPDFLoader(pdf_folder_path)
pages = loader.load() b. Data-Preprocessing from langchain.text_splitter import RecursiveCharacterTextSplitter

#Preprocessing using text splitter
text_splitter = RecursiveCharacterTextSplitter(chunk_size=500,chunk_overlap=50)
text_chunks = text_splitter.split_documents(pages) c. Document Embedding Data Creation from langchain.embeddings import HuggingFaceEmbeddings
from langchain.vectorstores import FAISS


#Get the embedding Model
document_embeddings = HuggingFaceEmbeddings()
#Create a database
db = FAISS.from_documents(text_chunks, document_embeddings)
#Create a retriever
retriever = db.as_retriever(search_kwargs={"k":3}) Dialogue Management: a. Downloading the Pre-trained LLM Model from Hugging Face from langchain import HuggingFacePipeline
from transformers import AutoTokenizer, pipeline

model = "tiiuae/falcon-7b-instruct" #Provide the exact model id from hugging face

#Download the pre-trained model
tokenizer = AutoTokenizer.from_pretrained(model)

# Create the pipeline
pipeline = pipeline(
    "text-generation", #task
    model=model,
    tokenizer=tokenizer,
    torch_dtype=torch.bfloat16,
    trust_remote_code=True,
    device_map="auto",
    max_length=200,
    do_sample=True,
    top_k=10,
    num_return_sequences=1,
    eos_token_id=tokenizer.eos_token_id
)

#Load the pre-trained model
llm = HuggingFacePipeline(pipeline = pipeline,model_kwargs={"temperature":0.0,"device":"cuda}) b. Create RetrieverQA to retrieve and summarize from langchain from langchain import PromptTemplate,  LLMChain, RetrieverQA

#Create RetrieverQA Object
qa_chain = RetrieverQA.from_chain_type(llm=llm,chain_type="stuff",retriever=retriever) Under the hood The llm chain takes in a prompt and converts the prompt into an embedding. The embedding is checked against a database of all the documents and the closest relevant document is selected. The closest document’s content is given to the downloaded pre-trained language model to give the relevant answer to the prompt/question that is asked Inference - Lets get answers prompt = "What are language models"
answer = qa_chain(prompt)
print(answer) Create a simple Chatbot #Create an infinite loop to ask question

while True:
  question = input("How can I help you")
  answer = qa_chain(question)
  print(answer) The answer is a dictionary and it is upto the user to parse and display the relevant information Conclusion In conclusion, the utilization of open-source pre-trained language models offers an exciting opportunity to interact with PDF documents in a more dynamic and intelligent manner. By leveraging these models, we can extract valuable insights, generate summaries, and engage in meaningful conversations with PDF content. The transparency and collaborative nature of open source models ensure accountability, facilitate ongoing improvement and address potential biases and ethical concerns. Through the convergence of open-source language models and PDF interaction, we are unlocking new possibilities for efficient document analysis, research, and knowledge extraction. With the power of open source, we are paving the way for more accessible, adaptable, and intelligent conversations with PDFs, enabling us to extract greater value from these information-rich resources. Complete Code - https://github.com/sumedhvdatar/pdf-gpt Sources https://arxiv.org/pdf/2109.01652.pdf https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/pdf The lead image for this article was generated by HackerNoon's AI Image Generator via the prompt “language model”.

How to Converse With PDF Files Using Computer Vision and Opensource Language Models

Introduction Large Language Models (LLMs) have been a game-changer in the field of natural language processing. With the release of OpenAI's GPT-3 in 2020, these models gained widespread attention and popularity [1]. However, it was not until late 2022 that LLMs truly revolutionized the industry. Major advancements, such as Google's "sentient" LaMDA chatbot and OpenAI's next-generation text embedding model, propelled LLMs into the spotlight [1]. Amidst this wave of progress, Langchain emerged as a powerful framework built around LLMs. Created by Harrison Chase, Langchain aims to empower data engineers with a comprehensive set of tools for leveraging LLMs in various applications, including chatbots, generative question-answering, summarization, and more. In this article, we will delve into the core components of Langchain and explore how it can revolutionize language models for data engineers. The Core Components of Langchain Langchain offers a range of components that can be "chained" together to create sophisticated applications around LLMs. These components include: Prompt Templates Prompt templates serve as the foundation for structuring input prompts to LLMs. They enable data engineers to format prompts in different ways to obtain diverse results. For instance, in question-answering applications, prompts can be tailored to conventional Q&A formats, bullet lists of answers, or even problem summaries related to the given question. Creating prompt templates in Langchain is straightforward. The library provides the class, which allows you to define templates with placeholders for input variables. PromptTemplate Let's take a look at an example: from langchain import PromptTemplate

template = """
Question: {question}

Answer: 
"""

prompt = PromptTemplate(
    template=template,
    input_variables=['question']
) In this example, we create a prompt template for a question-answering scenario. The template includes a placeholder that will be replaced with the actual question when generating prompts. {question} LLMs Large Language Models, such as GPT-3 and BLOOM, are the core engines behind Langchain's capabilities. These models possess exceptional language processing capabilities and can generate high-quality textual outputs. Langchain allows data engineers to seamlessly integrate various LLMs into their applications. Two popular options are models from the Hugging Face Hub and OpenAI. Agents Agents in Langchain leverage LLMs to make intelligent decisions and perform specific actions. These actions can range from simple tasks like web searches to more complex operations involving calculations or data manipulation. By combining LLMs with agents, data engineers can build powerful applications that automate processes and provide valuable insights. Memory Langchain also supports short-term and long-term memory, enabling LLMs to retain information across interactions. This feature is particularly useful in chatbot applications, where the model can remember past conversations and provide more contextually relevant responses. Getting Started with Langchain Now that we have a basic understanding of the core components of Langchain let's explore how data engineers can get started with this powerful framework. Installing Langchain To begin using Langchain, you need to install the library. You can do this by running the following command: langchain !pip install langchain Creating Prompt Templates Prompt templates are the building blocks of Langchain applications. They allow you to structure prompts in different formats to achieve desired outcomes. Let's create a simple prompt template for question-answering: from langchain import PromptTemplate

template = """
Question: {question}

Answer: 
"""

prompt = PromptTemplate(
    template=template,
    input_variables=['question']
) In this example, we define a template with a placeholder . This template will be used to generate prompts by replacing the placeholder with the actual user question. {question} Using Hugging Face Hub LLM The Hugging Face Hub is a popular platform for accessing pre-trained language models. Langchain seamlessly integrates with the Hugging Face Hub, allowing data engineers to leverage a wide range of models for their applications. To use a Hugging Face Hub LLM in Langchain, you need to install the library: huggingface_hub !pip install huggingface_hub Next, you can initialize the Hugging Face Hub LLM and create an LLM chain using the prompt template: from langchain import HuggingFaceHub, LLMChain

hub_llm = HuggingFaceHub(repo_id='google/flan-t5-xl', model_kwargs={'temperature': 1e-10})

llm_chain = LLMChain(
    prompt=prompt,
    llm=hub_llm
) In this example, we initialize a Hugging Face Hub LLM using the model. We then create an LLM chain by combining the prompt template and the LLM. google/flan-t5-xl To generate text using the Hugging Face Hub LLM, you can simply call the method on the LLM chain: run question = "Which NFL team won the Super Bowl in the 2010 season?"

print(llm_chain.run(question)) The LLM chain will generate the answer to the question using the Hugging Face Hub LLM. Using OpenAI LLMs Langchain also supports OpenAI LLMs, allowing data engineers to harness the power of OpenAI's state-of-the-art language models. To use OpenAI LLMs in Langchain, you need to have an OpenAI account and API key. To install the library, run the following command: openai !pip install openai Next, you can initialize the OpenAI LLM and create an LLM chain similar to the Hugging Face Hub example: from langchain.llms import OpenAI

davinci = OpenAI(model_name='text-davinci-003')

llm_chain = LLMChain(
    prompt=prompt,
    llm=davinci
) In this example, we initialize an OpenAI LLM using the model. We then create an LLM chain with the prompt template and the OpenAI LLM. text-davinci-003 Generating text using the OpenAI LLM is as simple as calling the method on the LLM chain: run question = "Which NFL team won the Super Bowl in the 2010 season?"

print(llm_chain.run(question)) The LLM chain will generate the answer using the OpenAI LLM. Advanced Features of Langchain Langchain offers a range of advanced features that empower data engineers to build sophisticated applications. Some notable features include: Asking Multiple Questions Langchain allows you to ask multiple questions and obtain answers in a streamlined manner. You can either iterate through each question using the method or combine all questions into a single prompt for more advanced LLMs. generate Let's explore both approaches: Iterating through Questions questions = [
    {'question': "Which NFL team won the Super Bowl in the 2010 season?"},
    {'question': "If I am 6 ft 4 inches, how tall am I in centimeters?"},
    {'question': "Who was the 12th person on the moon?"},
    {'question': "How many eyes does a blade of grass have?"}
]

results = llm_chain.generate(questions) In this example, we iterate through each question using the method and obtain the corresponding answers. The variable will contain the generated answers. generate results Single Prompt for Multiple Questions multi_template = """Answer the following questions one at a time.

Questions:
{questions}

Answers:
"""

long_prompt = PromptTemplate(template=multi_template, input_variables=["questions"])

llm_chain = LLMChain(
    prompt=long_prompt,
    llm=flan_t5
)

questions_str = (
    "Which NFL team won the Super Bowl in the 2010 season?\n" +
    "If I am 6 ft 4 inches, how tall am I in centimeters?\n" +
    "Who was the 12th person on the moon?\n" +
    "How many eyes does a blade of grass have?"
)

print(llm_chain.run(questions_str)) In this example, we combine all questions into a single prompt using a multi-question template. The LLM chain will generate answers for each question within the prompt. Memory for Contextual Responses Langchain supports short-term and long-term memory, enabling LLMs to retain information across interactions. This feature is particularly useful in chatbot applications, where the model can remember past conversations and provide contextually relevant responses. By incorporating memory into your Langchain applications, you can create more engaging and interactive experiences for users. Conclusion Langchain is a groundbreaking framework that revolutionizes language models for data engineers. By leveraging its core components, including prompt templates, LLMs, agents, and memory, data engineers can build powerful applications that automate processes, provide valuable insights, and enhance productivity. Whether using LLMs from the Hugging Face Hub or OpenAI, Langchain empowers data engineers to tap into the full potential of these language models. Advanced features like asking multiple questions and incorporating memory further enhance the capabilities of Langchain. With Langchain, data engineers can unlock the power of language models and transform the way they process and generate text. It is an invaluable tool for any data engineer looking to leverage the latest advancements in natural language processing. Try Langchain today and experience the transformative impact it can have on your language modeling workflows. References [1] OpenAI. "GPT-3 Archived Repo." GitHub, 2020. Link

Langchain: Explained and Getting Started

In this post, I'll guide you through using LangChain and DeepInfra for unstructured data analysis. We'll explore their capabilities, understand the importance of data-driven decisions, and learn how to extract valuable insights from structured and unstructured data. Get ready to uncover hidden patterns and make informed choices using these powerful tools. Let's dive in! What is DeepInfra? is a powerful machine learning platform that offers fast and scalable inference for top AI models. With its simple API, you can easily run AI models and pay only for what you use. It provides a low-cost, production-ready infrastructure that allows you to turn models into scalable APIs with just a few clicks. DeepInfra is designed to be a self-serve platform, making it easy for developers to deploy their machine learning models and benefit from its efficient and cost-effective infrastructure. DeepInfra Understanding the Magic of LangChain for Data Analysis The lies in its ability to unlock valuable insights from both structured and unstructured data. Now, structured data is already organized in a way that machines can easily understand. However, unstructured data, like social media posts, text documents, and customer reviews, is a bit trickier to handle because it lacks inherent organization. Yet, this type of data often holds a goldmine of untapped insights just waiting to be discovered and used for strategic decision-making. true power of LangChain Let's take an example of a collection of customer reviews, overflowing with unstructured yet vital data. LangChain, equipped with advanced Natural Language Processing (NLP) techniques, can sift through this data, perform sentiment analysis, and provide invaluable insights into customer attitudes towards a product or service. Similarly, by analyzing social media posts, LangChain can identify emerging trends, helping businesses align their strategies with current market dynamics. But LangChain isn't limited to just unstructured data. It's equally effective in analyzing structured data as well. For instance, it can be used to analyze sales data and uncover trends over time, identify top-selling products, or identify patterns in customer buying behavior. However, in this guide, we'll focus primarily on unstructured data and how LangChain, with the help of the FLAN-T5 model, handles it. Using the FLAN-T5 Model to Analyze the Data The is a language model that has been fine-tuned on a diverse array of over a thousand tasks, and it has proven its excellence by achieving remarkable performance across various benchmarks. In fact, it surpasses even larger models in its ability to learn from limited data, which is a testament to the incredible ingenuity of the Google team that created it. FLAN-T5 model What's more, the FLAN-T5 model isn't just efficient—it's also impressively versatile in terms of language support. It can effortlessly handle a wide range of languages, from commonly spoken ones like English, Spanish, French, and German to lesser-known languages such as Yoruba, Kurdish, and Zhuang. However, it's important to exercise caution when using FLAN-T5, or any AI model for that matter, as it does have its limitations, which you can read about . here Step-by-Step Guide: Using LangChain for Data Analysis with DeepInfra Now that we have a good understanding of LangChain and the FLAN-T5 model, let's dive into how we can leverage them for data analysis by using DeepInfra. The following is a step-by-step guide to analyze an example file with unstructured data, in this case, the State of the Union address. You can find the file we’ll be evaluating . here Setting up your environment To get started, you need to import the necessary libraries and set up your DeepInfra API token. Replace 'YOURTOKEN' with your actual DeepInfra API token. Here's the code: from langchain import ConversationChain, LLMChain, PromptTemplate
from langchain.llms import DeepInfra
from langchain.document_loaders import TextLoader
from langchain.indexes import VectorstoreIndexCreator
from langchain.chains.question_answering import load_qa_chain
from getpass import getpass
import os
DEEPINFRA_API_TOKEN = getpass()
os.environ["DEEPINFRA_API_TOKEN"] = "YOURTOKEN" Create the DeepInfra instance For this demonstration, we'll be using the 'google/flan-t5-xl' model. Here's the code you need - so short! llm = DeepInfra(model_id="google/flan-t5-xl") Load your documents You can load your unstructured data text files into LangChain. In this example, we're using a file named 'state_of_the_union.txt'. Here's the code: loader = TextLoader('./state_of_the_union.txt')
docs = loader.load() Query your data Now, you can perform queries on the loaded documents. For instance, if you want to find mentions of 'freedom' in the 'state_of_the_union.txt' file, you would use the following code: query = "What did the president say about freedom?" Run the question answering chain Finally, run the question answering chain using the loaded documents and your query. Here's the code: chain = load_qa_chain(llm)
output = chain.run(input_documents=docs, question=query)
print(output) What output do you get? Here’s what I got: freedom will always triumph over tyranny Resources and Examples To dive deeper into data analysis using LangChain and DeepInfra, here are some resources worth exploring: Langchain’s guide to question-answering over docs The QA conceptual guide Introduction to LangChain Use Cases with DeepInfra Question Answering and Document Analysis with LangChain and DeepInfra Building a Customer Support Chatbot with LangChain and DeepInfra: A Step-by-Step Guide Conclusion In conclusion, LangChain and DeepInfra provide startups with powerful tools for data analysis. By leveraging LangChain's data-aware and agentic framework along with DeepInfra's scalable infrastructure, businesses can extract valuable insights from structured and unstructured data to drive informed decision-making. Embrace the power of LangChain and DeepInfra to extract insights from data. Have fun! Subscribe or follow me on for more content like this! Twitter Also published . here

A Beginner's Guide to Understanding Unstructured Data Analysis with LangChain and DeepInfra

You might have come across chatbots in your daily interactions online, but have you ever considered the tech that powers these digital helpers? Chatbots, especially in the realm of customer support, have become a staple in modern businesses, enhancing customer service while boosting efficiency. Today, we'll delve into how and are enabling these chatbots, making them more responsive and effective. LangChain DeepInfra Fundamental Components of a Chatbot Let's get to the basics first - what are the core components of a chatbot? When developing a responsive and effective chatbot, three elements are essential: the model, PromptTemplate, and memory. The model represents the AI brain behind the chatbot, taking charge of understanding and responding to user inputs. The PromptTemplate guides the chatbot's responses, ensuring they stay relevant to the conversation. Lastly, the memory maintains state across interactions, enabling the chatbot to remember past conversations and use them to understand the context of current ones. Step-by-Step Guide: Building a Customer Support Chatbot with LangChain and DeepInfra Now let's get our hands dirty. We will walk through the process of building a customer support chatbot with LangChain and DeepInfra. We’ll pretend that this chatbot “works” at an online clothing store and can help customers choose clothes for them. Acquiring the DeepInfra API key DeepInfra, with its simple API and scalable, production-ready infrastructure, allows you to run top AI models with ease. First things first, you'll need to acquire a DeepInfra API key to interact with their service. Once you have it, you can set the API token in your environment as follows: use this link from getpass import getpass
import os
# Set the DeepInfra API token
DEEPINFRA_API_TOKEN = getpass()
os.environ["DEEPINFRA_API_TOKEN"] = DEEPINFRA_API_TOKEN Setting up the LangChain and DeepInfra environments Next, you'll want to set up your LangChain and DeepInfra environments. Import the necessary components and instantiate the DeepInfra model. For example, you can use a model like 'databricks/dolly-v2-12b': from langchain import ConversationChain, LLMChain, PromptTemplate
from langchain.memory import ConversationBufferWindowMemory
from langchain.llms import DeepInfra
# Create the DeepInfra instance
llm = DeepInfra(model_id="databricks/dolly-v2-12b")
llm.model_kwargs = {'temperature': 0.7, 'repetition_penalty': 1.2, 'max_new_tokens': 250, 'top_p': 0.9} A Note: Selecting and deploying the right model for the chatbot You can use many different models for the LLM line. The example shows how to use the model, but there are many others out there on DeepInfra. Since there are a lot of options, you may want to use a tool like to find suitable LLMs to use with LangChain. You have the freedom to search, filter, and sort AI models to find the one that fits your project best. Check out the page to find alternative models to play around with. databricks/dolly-v2-12b AIModels.fyi DeepInfra Creating a PromptTemplate to guide the chatbot's responses Now, it's time to define a PromptTemplate to guide your chatbot's responses. This will ensure your chatbot's responses are aligned with the context and user's input. I tried several different templates and it wasn’t easy to get one that worked perfectly. The process of coming up with the right prompt is called prompt engineering. Eventually, I was able to re-use a template I found on . Pinecone’s site template = """Given the following user prompt and conversation log, formulate a question that would be the most relevant to provide the user with an answer from a knowledge base.
  You should follow the following rules when generating and answer:
  - Always prioritize the user prompt over the conversation log.
  - Ignore any conversation log that is not directly related to the user prompt.
  - Only attempt to answer if a question was posed.
  - The question should be a single sentence.
  - You should remove any punctuation from the question.
  - You should remove any words that are not relevant to the question.
  - If you are unable to formulate a question, respond with the same USER PROMPT you got.

Conversation log: {history}
USER PROMPT: {human_input}
Your response:
"""

prompt = PromptTemplate(
    input_variables=["history", "human_input"], 
    template=template
) Initializing the chatbot and setting up memory With your model and PromptTemplate ready, the next step is to initialize the chatbot and set up memory to maintain the state across interactions. # Now using DeepInfra with the LLMChain
llm_chain = LLMChain(
llm=llm,
prompt=prompt,
verbose=True,
memory=ConversationBufferWindowMemory(k=2),
) Running the chatbot and interacting with it Finally, you can now interact with your chatbot. Let's see an example: output = llm_chain.predict(human_input="Hello! What clothes do you recommend I buy to rebuild my summer wardrobe")
print(output) The resulting response recommends some clothes: In the context of summer wardrobe recommendations, you should buy your clothes from the following list:
- V-neck T-shirts
- Tank Tops
- Solid Color Swim Shorts
- Swim Shorts
- Skirts
- Cardigans
- Sandals The Concept of Memory in Chatbots Memory plays a critical role in chatbots. It helps maintain context and history in chatbot interactions, enabling the chatbot to recall past conversations and understand the context of current ones. This ability is fundamental in creating a more human-like interaction, enhancing the user's experience. There’s a lot to dive into on the topic of memory, and I recommend you check out for more information. this guide More Resources and Examples For further understanding, I recommend checking out resources such as the on Langchain’s site, the notebook, and the notebook. These resources offer deeper dives into the concepts of memory, with Memory Key Concepts and Memory Examples offering practical guides. ChatGPT Clone notebook Conversation Memory Conversation Agent You should also check out the other Langchain guides on . AIModels.fyi DeepInfra also has robust for their platform and even has a blog you can visit to get detailed . documentation posts, guides, and articles Conclusion Building a chatbot for customer support using LangChain and DeepInfra may seem complex initially, but once you understand the fundamental components and steps, the process becomes much more straightforward. Leveraging these technologies can significantly enhance customer service, increase business efficiency, and improve overall customer satisfaction. As we move forward, the potential of these technologies is truly immense, and I look forward to seeing how they'll continue to evolve and impact the realm of customer service. Thanks for reading, and have fun building! Also published . here

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