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Let's learn about via these 64 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Retail Technology /Learn Repo 1. How E-Commerce is Getting Smarter with Artificial Intelligence Artificial Intelligence (A.I.) is the future. 2. Startup Interview with Edris Bemanian, Engage3 CEO Engage3 will transform the way that products are bought and sold by bringing human values into pricing decisions. 3. Why Retail Stores Are More Vulnerable Than Ever to Cybercrime As more security features rely on the internet, the potential for cyber exploits increases, though this isn't the only reason retail stores are susceptible. 4. AI-Powered Predictive Merchandising is Shaping the Future of Shopping As long as consumers choose a hybrid shopping model, merchandising will keep driving sales. 5. How Retail Tech Startups are Providing E-commerce Brands With a Competitive Advantage The rapid rise of retail tech has touched almost every part of shopping; from discovery apps like Yelp to Buy now pay later brands like Klarna and Afterpay. 6. Discover How IoT is Transforming the Retail Industry IoT enables data sharing among all the devices in the network, irrespective of their medium of connectivity. 7. Automate Pricing With a Good Price Optimizer Software Setting product prices is a complex process, involving so many factors. Using good price optimization solutions helps make this task easier and more effective. 8. A Success Story for Asian Retailers Acme Inc. (Operating Department Store in Singapore) 9. How India Revolutionised its Digital Payment System UPI has revolutionised the way Indians used to look at digital payment systems. In four years, it has surpassed Visa and MasterCard. 10. Automation & Fashion on Demand: Producing as Ordered Some brands are choosing to go back in time by using a made-to-order business model. Why aren't other brands making the leap? 11. Shelf Edge Technology: Digital Price Tags Using Renewable Energy Sustainable, cost-effective, and consumer-friendly: digital price tags are entering the fashion industry through shelf-edge technology. 12. How to Build Your Own Automated Self Checkout Service Brick-n-mortar retailers, learn how to implement an AI-powered autonomous checkout from smart vending machines and kiosks to full store automation. 13. BIG ALICE is Revolutionizing Retail via 3D Full-Body Scanners BIG ALICE is a scanning studio that can provide 3D renderings and accurate measurements of any human or object. 14. A Complete Guide To SKU Management For Retailers SKU management is the process of creating, organizing, and perfecting an alphanumeric SKU system for the items in your inventory. SKUs give inventory details. 15. The Digital Shopper: 4 Retail Tech Trends That Will Stay Post-Pandemic Retailers are perfectly poised to adapt with ease as we move into a post-pandemic world, having experienced such a necessary yet dizzying acceleration in digital transformations over the past year. 16. Smart Alternatives to Sampling Campaigns in Supermarkets During COVID-19 Find out how you can replace sampling campaigns during the COVID-19 pandemic to be safe and still engage with customers. 17. How Can Enterprises Utilize Edge Computer Vision? Business applications of computer vision technology for Enterprises, retail analytics, edge computing, intrusion detection and monitoring 18. Welcome to California, Where Your Face Is Your Credit Card Whether you are craving a burger or Chinese food tonight, there is no need to reach for your wallet or phone to buy it. Food vendors in California are embracing facial recognition — technology that lets you pay with a smile. 19. Top 7 Online Certificate Courses for Retail Pros We all know how essential it is for any professional to keep upgrading their skills to stay on top of their game. I've decided to compile a list of useful online courses (both free and paid) to help you further your career if you are a pricing, brand or category manager in need of mastering the power of technology. 20. Zoey The AI: A Friend to “Corona Brides” We experienced digital transformation on an unprecedented scale in 2020. Here’s how artificial intelligence is transforming online shopping. 21. Everything You Must Know About the Business Model of Walmart: World's Largest Retail Giant Let’s learn about the business model of Walmart. How did the world's largest retailer provide Everyday Low Prices yet earn $ 572B as revenue for 2022? Read on. 22. 40% Americans Do Not Know What Affects Their Credit Score Your customers’ credit score is one of the most important numbers of their financial lives. This three-digit number is the most used credit scoring model by lenders for evaluating a borrower's creditworthiness or the likelihood that they’ll repay the money. 23. Innovative Retail Technology For Brick and Mortar Shops Find out the Top 5 Retail Technologies brick and mortar shops should adopt in 2021 and how VR, robots, and other retail tech can help them. 24. How Artificial Intelligence Can Be Beneficial in the Retail Sector A look at how artificial intelligence can be beneficial in the retail sector 25. Bricks-and-Clicks, or Why Omnichannel Is the Future of Retail In-store and online retail have always stood in passive opposition to each other, but in the first quarter of 2019 this confrontation took an especially dramatic turn. Multiple mass media outlets published articles with agitated headlines like “It's Official: "Clicks" Have Topped "Bricks" (CBS News) or “Online Shopping Overtakes a Major Part of Retail for the First Time Ever” (CNBC), which proclaimed the final surrender of bricks to clicks. 26. How AI is Changing the Retail Industry Data is the crucial information businesses need to remain profitable. AI can bridge the gap between unused data and those profits in the retail sector. 27. The Retail Evolution: Customers Demand Enhancements to the Shopping Experience Andreas Hassellof, Founder and CEO of Ombori, explores how changing customer behaviors impact retail, and drive retail technology innovation. 28. 5 Trends Changing Retail Enterprise Resource Planning in 2021 What are the main ERP trends in retail? Feel free to explore this guide to keep up with the best updates to potentially implement them into your business. 29. 8 Ways ERP Systems Can Maximize the Profits of Retail Businesses Large retailers use ERP software to make sure their operations are running smoothly. Such tools are designed to address the problems faced by retailers today. 30. The Future of Retail: The Convergence of Physical and Online Stores Explore the future of retail and the merging of physical and online shopping experiences. Discover the latest trends and technologies shaping the way we shop. 31. 4 Reasons Why Your Business Should Accept Mobile Payments In an age where our daily lives are interconnected to technological advancement, it may be time to consider using a mobile device to make payments while on the go. We live in a world operating on ease and immediate response, so it may be time to convert towards this new, innovative option. 32. Augmented Geomarketing: The Start of a New Era or Just an Evolution? Why the Augmented Geomarketing shall change the real sector and its business? 33. What Makes "Good" Fashion Image Tagging Fashion image tagging is infamously tedious for eCommerce. But, how can AI help create accurate tags--and go a step beyond in understanding fashion information? 34. Technology Should Enable Craftsmen To Go Back To Doing What They Do Best The pandemic (you know the one) has disrupted stores and restaurants in a way no one could have expected at the start of 2020. Health scare, mass unemployment, e-commerce, Amazon competition, ballooning debt… we didn’t start the fire, it was always burning… but now there are ambers everywhere and we’ve got to get to work to save the good china. 35. How Technology Is Enabling Traditional Retailers To Adapt To A New Normal Technology has advanced rapidly when you look at how far we've come in the last decade or two, even when comparing the mobile phones of 2000 versus today. It's changed the world. Something else changing the world is the COVID-19 pandemic. As we get used to our new normal, technology will play a major role. For retailers, technology will be the most important tool in their journey to survive. 36. A World without Digital Technologies But what if digital technologies never existed? What would the world be like? 37. Why the Gap Needs Kanye West Can Kanye West help the Gap dig itself out of deep hole? 38. AI in the Retail Industry: 10 Computer Vision Startups to Follow in 2021 AI-enhanced retail holds the promise to eliminate operational inefficiencies and provide shoppers with frictionless in-store experiences. 39. What Chinese Retail Trends Tell Us About the Future of E-Commerce Amazon, mobile, A.I… there are dozens of new threats, technologies and processes a strategy executive must keep in mind to stay ahead of the curve when faced with skydiving sales. 40. Geofencing Marketing: Beginners Guide Have you considered the idea of using geofencing marketing in your business strategy?  It is one of the best marketing tactics for those retailer stores businesses. Geofencing helps you reach out to potential customers in your confined area. 41. The Retail CIO’s Guide to Mobile Device Management Strategy Are you in retail and planning to make mobile part of your strategy? Do you follow a bring-your-own-device (BYOD) policy and need to separate business and personal data on the same devices? If so, mobile device management (MDM) will become an important strategic consideration for your executive team. 42. NRF 2022: Technology That's Shaping Retail These technologies are expected to become commonplace within the retail industry within a matter of time. 43. New Research Paper May Indicate That Visa is Developing a Retail Blockchain Product Cryptology ePrint Archive has published a paper, entitled ‘LucidiTEE: Policy-compliant Fair Computing at Scale’, credited to a trio of staff members working for Visa and Visa Research by the names of Rohit Sinha, Sivanarayana Gaddam, and Ranjit Kumaresan. 44. Busting Financial Myths: "The Ignorant Retail Investor" If you Google "ignorant retail traders," you'll find mentions on the Financial Times, Seeking Alpha, Wired, Berkshire Money Management, The Street, and even The South China Morning Post. 45. Amidst COVID-19 Restrictions, How Can AI Help Retailers? COVID-19 has changed the world of retail almost overnight. Its impact on e-Commerce is creating challenges to online retailing, selling & services that no one has imagined in the first quarter of 2020-21. 46. How to Get Started with Amazon IVS and Amazon Personalize in Retail This blog will walk through a detailed example of how to configure and deploy live streaming and personalization into an ecommerce site. 47. How Artificial Intelligence Is Shaping The Retail Industry With 96% of Americans shopping online and the rise of AI lead cashier-less retail stores such as one of Amazon’s 15 Go stores, Artificial Intelligence (AI) has become a key element in the digitalization of in-store retail by personalizing the customer experience and creating a more engaged business-to-consumer interaction. For retail companies, AI creates an opportunity to bridge the gap between virtual and physical sales channels. 48. Ultimate Guide to Price Matching for Retailers Price matching might sound like the ultimate pricing strategy that your business should include after you hear about price match Walmart policy. It is true that many consumers put the price as their primary factor to consider when they purchase an item whether it is online or in-store. 49. Predicting Popularity of Retail Products Using AWS SageMaker, AWS Marketplace & AWS Data Exchange This blog is aimed at guiding users to understand how they can leverage AWS SageMaker, AWS Marketplace and AWS Data Exchange to deduce smarter decisions. 50. How To Use Technology To Enhance Your In-Store Marketing Strategy Robots, AI, and other tech are transforming retail experiences. Find out what technologies best suit your in-store marketing efforts and how you can use them. 51. Innovative Solutions That Will Change The Shopping Experience How can fashion brands enter the digital world using AI? Read my new interview with a maker of a highly-innovative technology that makes it a reality. 52. 5 Ways AI is Improving Supermarkets Follow the supermarket industry trends and take your existing retail software solutions to the next level with AI 53. The New Frontier of Price Optimization What would be the price of our product or service? This question has bothered businesses forever. Several pricing models have been spawned as a result. But the concept of price optimization is a fairly new one. At least to businesses that are not in the hospitality or airline sector. 54. Use Cases and Roll-Out Tips for Image Recognition in Retail Heavily shattered by the pandemic, the retail sector is on the lookout for innovation. 55. Blockchain will Disrupt the Shopping Industry: A 2020 market overview Times have changed, and businesses either need to change with them or die. Long gone are the days of niche brick-and-mortar stores, and as Millenials and GenZ consumers start to earn more money, the e-commerce market world needs to shift as well. In order to survive, stores became brands, enticing their customers to remain loyal and shop with them even when they could find better deals elsewhere. 56. An Introduction to Livestream Shopping The concept of live shopping goes back to the 80s and builds on the idea of video shopping. 57. The Problem(s) With Amazon GO 58. How to Offer Customers an Amazing Experience In-Store Find out how to offer an amazing customer experience from four top retail experts. Read their tips and try them out yourself. 59. Improve Monetization By Optimizing In-Store Analytics and Trendspotting Over the years analytics has created an important space for itself in the retail industry where it helps to bridge the gap between what retailers have to offer and what the customers want. 60. 7 Tech Trends Reshaping the Retail Industry What is the future of retail in the post-COVID-19 world? The 2021-reality trends show how technology and innovations help retailers face challenges. 61. 13 Retail Technologies That Could Help Brick-and-Mortar Businesses Learn about key retail technology trends that can help brick-and-mortar retailers sustain their businesses. Dive into the applications of innovative retail tech 62. Virtual Fitting Room Technologies To Boost Retail Sales in a Post COVID-19 World I hate shopping in brick and mortar stores. However, my interest in virtual shopping is not limited to the buyer experience only. With the MobiDev Data Science department, I’ve gained experience in working on AI technologies for virtual fitting room development. The goal of this article is to describe how these systems work from the inside. 63. Is Shopping In-Store An Experience Of The Past? Top retail experts share their knowledge and predictions on the state of in-store marketing in 2021. Check out their views on how COVID-19 affected brick and mo 64. How the Retail Industry is Implementing Machine Learning and Deep Learning Stores are changing. We see it happening before our eyes, even if we don’t always realize it. Little by little, they are becoming just one extra step in an increasingly complex customer journey. Thanks to digitalisation and retail automation, the store is no longer an end in itself, but a mean of serving the needs of the brand at large. The quality of the experience, a feeling of belonging and recognition, the comfort of the purchase… all these parameters now matter as much as sales per square meter, and must therefore submit themselves to the optimizations prescribed by Data Science and its “intelligent algorithms” (aka artificial Intelligence in the form of machine learning and deep learning). Thank you for checking out the 64 most read stories about Retail Technology on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

64 Stories To Learn About Retail Technology

240 Stories To Learn About Startups Of The Year

Today, I bought myself a striped red fox suit for my Metaverse avatar. Before we get to the of this equation, let me just tell you that the experience was easy. And this is the fact that I’m not a complete beginner to DeFi – I’ve got a MetaMask wallet, I’ve got an OpenSea account, I’ve got ETH and I know to avoid high gas fees at peak times. why not despite To avoid listing off my complaints about the process I endured, let’s focus on the ones that have a resonance beyond my individual frustrations. First, there’s a lot of complexity in even understanding where to begin. Luckily, I had a bit of help. Before setting myself up in the Metaverse – , to be specific – I was recommended to buy a personal domain. all isotile The problem? My MetaMask browser plugin wasn’t allowing me to switch networks and would only show my MATIC account. It wasn’t much easier on my mobile – though I managed to get onto the ETH network, I couldn’t connect to ENS to buy swordfoosh.eth (my alter ego, if you’re curious). And once I worked it out and set it as my Primary ENS Name, it wasn’t showing up in the Metaverse. But I was. As a bald white dude with a purple t-shirt in an empty room. Talk about the diversity of representation, eh? Luckily, the striped red fox suit was an easy buy, though at 0.033 ETH I can’t say it was super cheap, either. And that’s not even accounting for all the fees I paid to transfer out of my custodial wallet and to complete the transaction via MetaMask over OpenSea. If we think about the mission of the wider decentralized ecosystem, encompassing both DeFi and the Metaverse, it’s all about building a better alternative to existing societal and financial structures, but we’re still so far from even this noble goal. As I’ve identified in the short interaction described above, there are barriers at every turn – from a technological perspective, from a diversity perspective, from a financial perspective – and it’s not even clear what it’s all for! approaching Recognizing opportunity builds inclusion This last point is particularly interesting. What’s the point of going through all this hassle if the outcome doesn’t benefit you in any way? Since I work in the space, I can probably attribute it to (quite expensive) market research. But what about the people purported to be the key audience of the Metaverse’s ambitions? What about creating an even playing field across all demographics, all abilities, and all geographies? The first thing to note is that, despite increased media coverage over the past few years, we’re still in the early stages of adoption. That tends to mean that while we speak of lofty goals of providing access to the disenfranchised, underrepresented, and unbanked, we’re really just focused on the earliest adopters. And the earliest adopters are already privileged in at least one way – they’ve recognized the opportunity and they have the means to capitalize on it. Yet defining the opportunity comes with its own challenges, namely that opportunity looks different for different users. For me – as I imagine will be the case for many – it’s about finding something to be excited about. The whole sitting in an empty room playing the keyboard in a striped red fox suit? Not – pardon the pun – my jam. But now that I’ve discovered I can mint my own physical artworks as NFTs and hang them on the walls, my curiosity – and my entrepreneurial spirit – is piqued. Could someone want to buy an NFT of my painting, perhaps? That’s the entire point. As long as have an incentive to participate, you’ll seize the opportunity to do so. And, presumably, the more value you see in it, the more forgiving you’ll be of its current limitations and the more willing to dedicate time and effort to improve it – for everyone. you Do the building blocks matter? Nobody cares about the complexity of the matter once they’ve identified the use cases that make sense to them. The underpinning technology fades into the background. Remember Skype? Who cared about how VoIP worked as long as it connected them to their families across the globe? The same thing needs to happen in the DeFi space. A lot has been written about how user interfaces and user experiences within the wider DeFi ecosystem are . As a product manager in the crypto sector, I’ve encountered my fair share of non-user-friendly applications over the years. Not to call anyone out, but that includes fairly basic things like yield farming using non-custodial wallets to more complex activities such as liquidity mining using wrapped BTC. deterring users What’s also true is that significant progress has been made. After all, it’s worth remembering that the technology is still fairly nascent, and as it matures – as new players and platforms arise – we’ll see new capabilities, new monetization engines, and most importantly, a bigger focus on the end user. Compared to even a year or two ago, DeFi protocols are considerably simpler to access – embedded in sleek wallets – for the non-discerning user. Where, arguably, they should be. We’re no longer talking about first mover advantage, of course, but for mass adoption, understanding the intricacies of the technical infrastructure shouldn’t matter. It’s all about ease of use – for the majority of users, principles of privacy and self-sovereignty are just a perk. Potential pitfalls That being said, we can’t walk blindly into someone else’s definition of what the Metaverse is and how it is powered by DeFi when we have a unique opportunity to frame both concepts in a genuinely meaningful way. We’re already witnessing corporations staking their claim – luxury brands , the music industry , and, of course, “big tech” and venture capitalists . capitalizing on huge margins releasing music as NFTs replicating traditional Web2 power structures The influence of the wealthy and powerful raises justifiable doubts as to its ability to cater to the interests of a diverse audience. Though the biggest incentive is the promise of increased interconnectivity, for the time being at least, access remains limited for the average user. While the ability to virtually spend time with family, play games with friends, go shopping, or engage with favorite artists might seem tempting, the Metaverse has the potential to be “dystopian”, with corporations like Meta (formerly Facebook) firmly in control. Conclusion The good news is that it’s not too late. Coming back to the central tenet of the entire experiment – if people are by the opportunities and if they buy into the possibilities, they’ll take ownership and they’ll build. It all comes down to the eternal question of whether this brave new world can offer the right incentives for participants to behave altruistically. If we can take this initial phase to embed those principles into the Metaverse and into DeFi, we can reap the benefits for years to come. excited In other words, I’m not hanging up my striped red fox suit just yet.

Building for Inclusivity: Deconstructing Metaverse Barriers

Greetings, I am Ilya, a seasoned designer with a legacy of 8 years shaping products across industries like fintech, banking, and e-commerce. Within my portfolio lie collaborations with esteemed leaders such as Finex, VTB, Johnson & Johnson, Pearson, M.Video, Ferrari, Avito, Alpari and many others.  I enjoy blending creativity with logical thinking to create stunning designs that are user-oriented and deliver a thoughtful user experience In this discourse, I explore the synergy of human ingenuity and Artificial Intelligence, envisioning AI's profound impact on product design. Furthermore, I present a curated selection of prime Figma tools, offering designers a gateway to infuse AI seamlessly into their creative journey. In this era of digitalization, where automation and process optimization are key goals, design is also experiencing this transformation, with AI driving progress. The rise of Artificial Intelligence (AI) and neural networks is orchestrating a significant shift across multiple spheres of existence, and design is unquestionably no bystander. In this era characterised by digitization's sway, where efficiency through automation reigns supreme, design finds itself seamlessly woven into this narrative, propelled forward by the inexorable march of AI. According to a study by Adobe: ”UI/UX designers were the most likely to use generative AI in future professional work — and over twice as likely to do so as print designers/publishers”. How AI Enhances the Work of UX Designers: Enhanced Personalization: AI can quickly and efficiently analyze data (behavior, demographics, preferences) to create a unique experience for each user. This positively impacts conversion and user retention. Automation of Routine Tasks: Artificial Intelligence can automate numerous mundane tasks, freeing up time for more important ones. A prime example of AI's indispensability lies in the post-UX research stage, where it helps in converting sketches into finalized designs, analyzes user behavior for more user-friendly interfaces, and tests various design options to determine the most effective. Improved Accessibility and Inclusivity: AI can make UI/UX design more inclusive and ensure digital products and services are accessible to all users, regardless of their abilities. AI-powered tools better analyze designs for accessibility issues and identify areas for improving accessibility, subsequently assisting in creating more inclusive user experiences for individuals with disabilities. Moreover, several plugins, such as Figma Voice, which I discuss further, can facilitate the work of professionals, who endure some disabilities. Innovativeness: Additionally, AI and neural networks' “learning” and “adaptation” capabilities enable designers to create more innovative and intelligent design systems that can autonomously adjust to changing conditions and requirements. Moreover, designers can use AI to develop new interaction forms, such as voice and gesture control, and explore novel ways of feedback and visualization, such as augmented and virtual reality. An example of this is trainable gesture-based systems for next-generation intelligent interfaces. Let's explore the potential of using AI through the example of Figma: Figma, one of the leading platforms for UI/UX design, actively integrates the capabilities of AI and neural networks into its products. During its recent conference, the company unveiled a selection of novel Figma features. Notably, the Dev Mode functionality stands out, as it expedites the shift from design to development by seamlessly translating designs into code, amplifying both speed and efficiency in the process. I invite you to explore several examples of Figma plugins powered by AI and neural networks, which have proven to be invaluable in my work. 6 Figma plugins which you should know Similayer is an intelligent Figma plugin that automatically allows a designer to change the color or font in similar layers. Rather than manually selecting each layer, designers can utilize Similayer to instantly identify and update all relevant layers with a single click. This plugin proves to be a game-changer, mainly when dealing with extensive projects necessitating numerous modifications. Similayer expedites workflows and enhances efficiency in such scenarios. Figma Voice is a revolutionary Figma plugin that introduces vocal interaction into the designer's workflow. This plugin allows designers to use voice commands to perform actions in Figma, transforming voice into a tool that accelerates the design process and makes it more intuitive. With Figma Voice, designers can execute commands such as moving, scaling, and rotating objects by speaking them aloud. This tool is essential for individuals with limited physical abilities or prefer a voice interface. Zecoda is an advanced Figma plugin that uses artificial intelligence for automatic design-to-code conversion. This tool transforms your Figma layouts into code written in languages like HTML, CSS, JavaScript, and React, streamlining the development process and reducing the time from design to implementation. Unlike traditional manual coding, Zecoda utilizes AI and machine learning algorithms to accurately interpret your design and convert it into code with pixel-perfect precision. It ensures a high-quality end product and significantly reduces the time and effort required for development. GPT Stylist is an innovative Figma plugin powered by artificial intelligence, designed for automatic color correction of design elements. This tool simplifies working with color schemes, making selecting and applying colors more straightforward and efficient. GPT Stylist can analyze the design using machine learning and AI algorithms and suggest optimal color combinations. It can automatically pick colors for design elements, including texts, backgrounds, buttons, etc., taking into account the context and design style. Bilfrost - a Figma plugin that utilizes artificial intelligence to automate converting design mockups into clean React code. It speeds up the development process and significantly reduces the time spent writing code from scratch. Bilfrost processes Figma design files and automatically converts them into functional React code. The result is always pixel-perfect, ensuring high quality and compatibility across various platforms and devices. This tool empowers designers to create and update interface screens without programming knowledge. Qoqo.ai is another innovative AI-powered tool specifically designed to enhance UX copywriting, create personas, build user journeys, and generate interview questions. This Figma plugin empowers designers to develop their projects more efficiently and productively, saving time and resources. Qoqo.ai utilizes AI to craft clear, concise, and engaging messages that resonate with the audience's interests. Additionally, it offers tools for creating detailed personas and user journeys, enabling designers to understand their users and their needs better. Challenges in AI UI/UX Design: As AI increasingly interweaves with the fabric of UI/UX design, it promises to redefine our understanding of user experience, offering tools that can predict, personalize, and streamline design processes like never before. However, with such groundbreaking shifts come complexities that need addressing. While the innovation potential is vast, designers navigate a new frontier teeming with opportunity and challenge. Transparency and Trust:
AI's "black box" nature can make its decisions opaque, challenging the fundamental user-designer trust. Users might be skeptical of design decisions driven by complex algorithms they need help understanding, hindering their willingness to engage. Ethical Concerns and Biases:
AI systems, if not trained correctly, can inadvertently perpetuate societal biases. Such unintentional biases in design can lead to ethical dilemmas and misrepresentations, causing harm or alienation to certain user groups. Balancing Data with Empathy:
While AI's data-driven approach is invaluable, it may overshadow human touch, intuition, and empathy. These human-centric aspects are critical for creating genuinely resonating user experiences. Potential for Homogenization:
Over-reliance on AI tools and templates can curtail designers' creativity, leading to designs that might feel generic or impersonal, lacking the distinct flair that sets apart exceptional interfaces. Individual Needs vs. Data Generalization:
Striking a balance between catering to unique user requirements and generalizing based on vast data sets is delicate. Achieving this equilibrium is vital for ensuring user satisfaction. Ethical Use and Data Privacy:
Incorporating AI into design intensifies the need to prioritize user data privacy. Ethical AI usage and data protection are foundational in preserving user trust and rights. In essence, while the integration of AI in UI/UX promises unprecedented opportunities, it simultaneously presents these challenges, demanding adaptability, foresight, and ethical diligence from designers. Conclusion In the ever-evolving landscape of design, the formidable influence of artificial intelligence and neural networks cannot be overstated. Their transformative impact accelerates processes, refines automation, and illuminates new avenues of innovation. Figma plugins, forged on the bedrock of AI and neural networks, serve as an empowering conduit, enabling designers to wield these cutting-edge technologies to their maximum potential. These plugins adeptly simplify the intricate tapestry of tasks, whether routine or complex, encompassing layer organization, code transformation, and the testing of voice-guided interfaces. However, a gentle reminder resonates: plugins remain tools in the arsenal of creativity, not substitutes for it. As they augment the design voyage, they bow to the irreplaceable essence of a designer's imagination, artistic prowess, and skill. This collection aspires to illuminate the horizon, spotlighting the gamut of capabilities and benefits that unfurl when AI and neural network plugins intertwine with Figma's canvas. May it serve as a compass guiding you through the realm of possibilities, be it embracing these plugins or embarking on alternative explorations.

AI in the Work of UI/UX Designer: Challenge or Opportunity?

: Disclaimer This material is intended for general information purposes only and does not constitute legal advice. The Tokenization: Introducing How Real Estate Can be Tokenized Generally, the process of tokenization may be compared with securitization. Both convert low-liquidity real world assets into high-liquidity financial instruments, with the key difference being the method of conversion and medium of operation. Tokenization turns low-liquidity assets into enabling fractionalization, trading and compliance by design powered by the functionalities of (DLT) and (DeFi) ecosystem. highly-liquid digital tokens Distributed Ledger Technology Decentralized Finance In practice, real estate tokenization refers to the process of securitizing the real estate assets in a (SPV) and tokenizing an instrument issued by the SPV (e.g. shares, bonds, derivatives, etc.) in the form of digital tokens which are offered to investor in a (STO). Special Purpose Vehicle Security Token Offering The Jurisdiction The choice of jurisdiction for the and conduct of the offering is a crucial piece of the puzzle as it determines the applicable law and regulatory constraints. The ability to tokenize certain financial instruments (e.g. shares, bonds, derivatives, etc.) is determined by the applicable corporate and securities laws, therefore, the chosen jurisdiction must allow to compliantly represent these instruments with digital tokens. tokenization vehicle In many jurisdictions, the main obstacles for tokenization of these instruments are typically archaic processes and outdated requirements, such as the requirement for notarization to effectuate transfer of rights, non-recognition of digital shareholder registers, and legal uncertainty with respect to enforceability of . smart contracts The following is a (non-exhaustive) that avoid these pitfalls either through introduction of dedicated digital asset legislation or targeted removal of obstacles to tokenization: list of suitable jurisdictions United States (Delaware, Wyoming, California) EU/EEA (Germany, France, Spain, Denmark, Luxembourg, Liechtenstein, Estonia, Malta, Portugal) Switzerland UAE (Dubai, Abu Dhabi) Asia (Hong Kong, Singapore, Malaysia) Africa (Nigeria, South Africa, Mauritious) Offshore (BVI, Bermuda, Cayman Islands, etc.) The Structuring Structure your tokenization according to your goals The design of the legal structure will depend on the specific goals of the offering and legal constrains of the chosen jurisdiction. If real estate assets are located in another jurisdiction from the tokenization vehicle, then such assets must be securitized in a separate local (SPV) which is wholly owned by the tokenization vehicle. This is necessary due to complexities of direct ownership of foreign real estate and for liability purposes. special purpose vehicle The following is a (simplified) illustration of the typical structure The structure of the tokens itself depends on the business model of the issuer, but most commonly real estate is tokenized either through digital equity shares or bonds issued by the SPV. for linking the tokens with shares or bonds varies from jurisdiction to jurisdiction, however, it typically involves an amendment of the articles of association (bylaws) of the company, issuance of board resolution, and preparation of investor agreements. The legal process Technology integration should also be conducted in parallel with the legal process by onboarding a tokenization platform. The Listing A short definition of primary and secondary investment offering In a , investors are purchasing shares (stocks) directly from the issuer. However, in a , investors are purchasing shares (stocks) from sources other than the issuer (employees, former employees, or investors). primary investment offering secondary investment offering Listing on an exchange for primary or secondary offering Pending on your tokenized asset, you might benefit from listing on an exchange such as RealEstate.Exchange (RE.X). In order for listing tokenized securities an issuer would need to complete the following steps: Structuring and securitisation of real estate assets in an Special Purpose Vehicle SPV Tokenisation of equity or bonds issued by the SPV Go through a KYB verification and technical onboarding process Comply with financial promotion legislation depending on the type and scope of the offer The last point warrants additional attention, if an offering is directed towards retail investors it would generally require of an EU member state. However, for certain issuers and types of offerings, a full prospectus would be inappropriate because of the time, cost and complexity involved in the approval process. An alternative is to relay on one of the following exceptions: a prospectus approved by a relevant financial authority The total size of the offer in the Union is below EUR 8 million (applicable in Germany and includes retail investors) Offer is directed solely to qualified investors Minimum investment/ticket size is EUR 100,000 In case of the offer under EUR 8 million on , the issuer would need to comply with the requirements set out by the German Federal Financial Supervisory Authority (BaFin). RE.X In particular, such issue would need to prepare a short (WIB) and file it with BaFin, more information can be found . 3 page Securities Information Sheet here Start a Conversation With Me I’ve been working as a journalist, educator and filmmaker for years, and then I fell down the rabbit hole. I will happily engage in any tokenization, blockchain or real estate discussion. I am also interested in productivity, AI-creation tools for art and culture. This article outlines the legal aspects of tokenizing assets on a blockchain using real estate as an example. It is created by , Legal Counsel at DigiShares | Digital Securities & STO, and , Marketing Manager at RealEstate.Exchange. Volodymyr Havrylyuk-Yensen Emil Holtemann

The Legal Guide to Asset Tokenization on the Blockchain

“Get the knowledge and inspiration you need to expand your business” Businesses are like sweethearted infants - And they want to run away for a lack of funds and budgets when things get tough. We’re sure you can relate to it if you’re a businessman or a budding entrepreneur. Nevertheless, obtaining business outcomes everyday becomes a great challenge. With an overcrowded online environment, brand vision, not to mention true clients, needs more than sweet and blood. And because of the many channels and the need to be everywhere, the issue is increasing. But Artificial Intelligence offers businessman a tremendous chance to solve their ever-growing problems. You talk to any , about 80% of them and technology leaders say that AI is boosting their efficiency a lot already. software app development company According to the market research firm Tractica, is expected to experience massive growth in the coming years, with revenues increasing from around 9.5 billion U.S. dollars in 2018 to an expected 118.6 billion by 2025. Look at this chart from Statista. the global artificial intelligence software market Revenues from the artificial intelligence (AI) software market worldwide from 2018 to 2025 (in billion U.S. dollars) This shows the huge demand for AI software in the market. Many regard AI as the leader of the Fourth Industrial Revolution. The AI is being utilized to make our lives simpler by self-driving cars, voice search and product suggestions from Amazon for cyber security, chatbots and inventory software. Infact, there are so many mobile applications which are nowadays being built using AI technologies like Facial Recognition, Iris Recognition, Biometric detection and Speech Recognition. Actually, if you discovered this article by Google, then think what? AI assisted you get to this place. As per , Today just 15% of enterprises are using AI. But 31% said it is on the agenda for the next 12 months. That means many companies are planning to invest heavily in AI in the next few years. this Adobe report AI has managed to get very precise outcomes from finding the smallest flight fare to forecasting the achievement of a film. Top technology businesses such as Google and Facebook are currently working on study programs to increase and enhance the efficiency and applications of AI. So how can a businessman like you be benefited from this fantastic technology? Or ways AI can help your startups. In order to answer this question, we have accumulated 8 methods to assist startup owners save time and money, create more intelligent company choices, boost effectiveness, and hopefully boost their earnings. 1. Chatbots - Always accessible for customers The increasing pace and connectivity of the Internet has made us search for everything ‘instant.’ There is no patience in Millennials. That is why companies need assistance to guarantee that they are highly available. Chatbots with AI are of excellent assistance. Without any delay, they enter into smart discussions 24*7. Chatbots can serve clients without limiting time. No holiday, illness or chatbots frustration clause exists. Once in a while a human agent may become exasperated or give up solving a problem, technology will not do likewise. A company can depend for the moment and other obstacles on qualified Chatbots to serve its clients. In fact, artificial intelligence is revolutionizing business in quick, accurate and standard service real-time. The bots will never leave your company, so there is no dependability or fear of losing them or their data. As per , Chatbots will power 85 percent of customer service by 2020 and we have already many mobile applications which have integrated Chatbots to provide improved services to customers. this report on AI statistics How does AI Chatbots work? The chatbot is trained and learns on the basis of the data you enter, so when a customer or employee engages with the chatbot, it maps every possible response to the message from the users and responds accordingly. Consider a chatbot, the ultimate tool to help your customers and enable your team to concentrate solely on problems. Also, many firms which are into the development of mobile app development solutions are eagerly providing AI based chatbots along with their mobile apps in order to provide improved services. How can AI chatbots helps startups? You can really guarantee that questions get the best answers with a data-filled chatbot on your frontline and queries are sent to the correct individuals because you can determine the result. However, chatbots can assist you sell more, particularly when you deal with subjects such as conversational marketing and chatbots on particular points of contact in your sales bowl. Chatbots are an excellent way to do this if you've ever wanted to capture the genuine pulse of your company. 2. Logo Design When you look at the evolution of the design over years, you realize that the experience in every sphere of life is no longer just about work but more and more. It has become the source of entertainment, recreation, communication, shopping, friendships, community, and many other elements of everyday life. Design experience is, of course, worthy of being more human, responsive and engaging. Artificial design tools have given designers the chance to transform the online experience with many fresh components; the past design has now given artificial design intelligence a strong boost. How does AI designer work? Like a chatbot, platforms for design using machine learning and artificial intelligence can generate user data based custom components. In combination with the teachings of the designer engine, the end outcome is usually a cost-effective design asset, like a logo or the layout of the web page. How can AI powered logo makers help startups? You have logo inspiration, but you do not have time to fellow with logo templates or to employ a design company. This is where web design applications powered by AI can offer true value. Imagine getting your brand identity developed and ended in hours instead of months. (logo design, company cards/ business cards, social media assets) for every ambitious entrepreneur, we’d like to believe that is worth a decent amount of cost. 3. Search Engine Optimization Most importantly it’s vital for every online venture to hit the search engine ranks. SEO is similar to their bread and butter in businesses that are highly dependent on online traffic. SEO offers more information than the user requires and likes. In this regard it is essential to decipher user preferences, and AI can play an essential role. Instead, webmasters with least competitive and timely keywords and content can be supported with artificial intelligence. In general, artificial intelligence attempts to discover the reasons behind each search engine and thus provide alternatives for these requirements. How do AI SEO tool works? In the analysis of large data sets from multiple sources, SEO companies use machine learning, so that the platform produces specific conclusions and recommendations that improves organic search performances. It’s like an analyst telling you why certain pages are listed, what changes will have the greatest effect and what competition is really winning. How can AI powered SEO tools help startups? Google analytics now offers information and insights directly on its platform which is great for single marketing department and entrepreneurs alike. AI is like having a SEO specialist at hand in your SEO reporting environment. Review remarkable insight, ask questions and do more than ever to find meaningful data. Without the extra wage. 4. Content Marketing In search engine ranks, content quality is considered to be the greatest king without a doubt. In addition, the greater the content quality, the better are the chances for search engine rankings. Even after you do everything in its ability, the main aspects that distinguishes a web content from the other content is sometimes uncertain. How do content intelligent platform work? Content intelligent platform can assist you to write better headlines, optimize ad copy, personalize and forecast content output in multitude ways. Most platforms can support the editing and making of content based on historical measurements with AI and machine learning. How can AI- powered content intelligence help startups? Does the analyst have any content rankings for a single sentence and provide an intuitive feedback on what enhances the content of the #1 website? You have a content intelligence platform if you operate an enterprise that employ individuals to generate semantic content across different channels (pay, social, email, blog). 5. Video Production AI-driven video software is not precisely a fresh product, but the quality of videos produced by these platforms has improved considerably in recent years. With big players like Adobe increasing their games, smaller platforms come into the scene with suitable alternatives to quickly and efficiently create videos. How do AI video programs work? Most platforms for video production use artificial understanding and the machine learning to match the content you provide to each scene of your video with the relevant clips and images. More sophisticated platforms like Adobe Premiere Pro CC can automatically color, making the editing method for color consistency of several camera shots a bit more comfortable. How can AI powered video production help startups? A video maker with AI can be used for many purposes. The platforms mostly come with big inventory video and pictorial databases and some even allow you to enter the URL of your blog post and convert the text into a video automatically. There are endless opportunities. 6. User Experience Thanks to AI, it became simpler than ever to adapt to user needs. With artificial intelligence in internet creation, user preferences, moods can be understood and user contexts judged accordingly. Of course, customer service and user experience can be strengthened by knowing the background and circumstances of the user. User analysis can be improved when it comes to evaluating a user on the basis of a complicated and high quantity of information. How does UX intelligence work? Artificial intelligence can assist businesses to create their customers an extremely personalized experience. Artificial intelligence may bring in all the various points of a client and well determine the brand and customer behavior- or what we call chatbots- via strong virtual humans. How can AI powered UX help startups? Business teams therefore have unparalleled insights into client experience, far beyond what surveys can glean from customers. Note that, if a business does not anticipate its requirements, salesforce says 50% of customers are likely to trade products. Artificial intelligence promises to assist organizations, by providing clients with the correct texts and marketing instructions, in order to better comprehend their customers and to anticipate them. The Rise of Artificial Intelligence (AI) also allows businesses to better comprehend brand strength and high-level client trends. AI powered instruments can monitor and predict client emotions and social brand perception. Benefits of artificial intelligence in business: 1. AI provides improved effectiveness We are human, so we make errors and become tired. It is only for a restricted period that we can execute skilled job before fatigue takes over. We need time to relax, sleep and unplug. AIs do not have a biological body, side show or family to get away from work. And while people fight to remain focused for a while, AIs remain precise whether they operate for 1,000 hours. These AIs can also correctly record information when they operate, which will in turn fuel their own learning and appreciation of designs. 2. AI solves humanity's issues With AI becoming more capable and used in various capacities, many of the issues that have plagued government, schools and companies are likely to be resolved. In addition, AI will assist to enhance our justice, health, social, economic, governance and other aspects of our community. In fact, there are some companies which have already developed many based on AI technology due to their huge benefits in many fields around us. mobile app development solutions 3. AI frees people to do the best they do As AIs become more common and take on daily and manly duties, people are liberated to do their best–to critically and creatively believe and to imagine fresh options. It is probable that AI instruments will increase and improve this critical thinking and creativity. The co-working circumstances where duties between human beings and AIs are separated according to their skills and strengths are more important in future. Conclusion Artificial Intelligence cannot emulate creativity or intellect. However, it can take away the heavy work burden so that marketers can concentrate on strategic planning and creativity. It is immensely likely that in near future we will come across so many mobile applications which will be built using latest AI technologies and they will have great power to make this world much more smarter. : I work at Xicom as a Sr. Software Engineer. We have assisted many startups by developing their critical AI based and to improve their efficiency and productivity to create a clear competitive advantage in the market for them. Disclaimer software solutions mobile applications

Top 8 AI-Powered Tools To Help Startups Grow: Crafting Real Experiences with Artificial Intelligence

I've been in the blockchain industry for over ten years now, and in that period, I have never ceased to be amazed by how much the industry has evolved right before my eyes. It feels almost like watching your child grow up. Since the advent of in 2009, the industry has come a long way. It has attracted both retail and institutional investors in its journey to global acceptance all over the world today. There is a notable appeal for digital assets as an instrument of investment. Bitcoin Several niche markets have been vital to the growth of the Industry. And each has contributed unique value propositions to the overall industry. For example, the Non-Fungible Tokens (NFTs) market has found a way to shine the spotlight on creators. The sector has helped creatives monetize their works, and it allows the tokenization of real-world assets on the blockchain. Today, it is a multi-billion-dollar market. Another instance is the Decentralized Finance (DeFi) markets that have provided the world with an alternative means of carrying out financial transactions and using financial instruments like borrowing without waiting on intermediaries like banks or brokerages. These emerging sectors have experienced immense growth within the crypto industry, and they have contributed in no small part to the overall success of the blockchain. However, no matter the level of success achieved at the moment, since blockchain and cryptocurrency are still nascent technologies, it would be unwise to cap the potential of innovation in these technologies. There are several projects already at the forefront of development in the industry. A lot more would come up as the industry evolves. Some of the sectors where these projects are leading the pack include Metaverse, DeFi, Layer-2, Artificial Intelligence (AI), etc. In this article, we'll delve into these remarkable niches and how they continue to improve the creative potential of the blockchain industry. Play-to-Earn (P2E) Metaverse A promising sector that has driven and continues to drive mainstream adoption of blockchain technology and cryptocurrencies is the Play-to-Earn Metaverse. The adoption of cryptocurrencies has been slow due to various factors. For one, there has been limited access to knowledge due to the technical nature of most of the industry. There is also the issue of regulatory challenges facing the industry that have prevented or made investors unsure of coming into the space. However, a very impressive number of people engage actively in video and mobile gaming. In 2021, over 3 billion people played games actively and directly, resulting in the gaming industry hundreds of billions of dollars in revenue, with an expected revenue of around $533 billion in 2027. By incorporating P2E features into this gigantic industry, Web3 gaming is serving as an easy route for these people to enter the blockchain world. Proof of this is the play-to-earn games market size, which was at $32.9 billion in 2022 and is estimated to reach $88.6 billion by 2028—a Compound Annual Growth Rate (CAGR) of 17.93% in that period. generating valued In the last couple of years, the blockchain industry has experienced impressive levels of growth, and a major part of that has been the growth of Web3 gaming. Different factors have driven this growth, but a large part of it can allude to the rise in the prominence of NFTs and the P2E model of gaming. This gaming model offers players the ability to earn in-game assets that can be owned or sold in an open marketplace as NFTs. This has empowered gamers to build valuable digital identities backed by real-world worth in the game's native token. Some of the top P2E Metaverse projects include The Sandbox, Decentraland, Gala, Illuvium, Axie Infinity, and futuristic NFT-oriented Multiplayer Online Role-Playing Games (MMORPGs) like Sidus Heroes and Creo Engine are spearheading this revolution. Creo is a next-level Web3 gaming ecosystem that connects gamers and developers in a one-size-fits-all Web3 gaming hub with its powerful blockchain technology. It aims to be the foundation of all Web3 gaming systems, providing game developers with a robust and secure platform to build upon. Decentralized Finance (DeFi) The launch of Bitcoin in 2009 saw the explosion of a robust industry from its underlying technology. This industry saw the development of different niches where blockchain solutions were developed for different use cases. One such niche is DeFi. This niche was created as an alternative means of carrying out financial transactions from traditional financial services. DeFi is powered by Decentralized Applications (dApps) and consists of smart contacts and apps built on Ethereum, where a majority of the ecosystem's Total Value Locked (TVL) is concentrated. A core tenet of Bitcoin is decentralization, and DeFi embodies this ideology. Over the years, the sector has expanded on this ideology and has grown into a subcategory where many mainstream financial services have been built and offered to the masses. DeFi has pushed for a world where these services are controlled by individuals (Peer-to-Peer) instead of central entities. This niche has proven valuable, as evidenced during the peak DeFi season in 2021, when the ecosystem had a Total Value Locked (TVL) of over $179 billion. That figure is $69.60 billion. currently While the sector may have begun with lending, today, it has many use cases and is giving users access to financial services like investing, trading, saving, and even market-making. Platforms like Uniswap, Curve, and Balancer with their Decentralized Exchanges (DEXs), Aave and Compound with their lending and borrowing protocols, Lido with its staking, Yearn Finance and Libera with their yield platforms are some of the projects at the forefront of the DeFi ecosystem. Layer-2 The Ethereum blockchain is a popular blockchain for various applications, especially in DeFi. This has held regardless of different market conditions and legal challenges. Two things that have, however, hindered the blockchain's scalability have been its speed and high gas fees. Layer-2 solutions are a sprawling blockchain niche addressing these issues by providing faster and more affordable transactions while maintaining security. These newer blockchains and DeFi platforms are processing transactions in milliseconds, with a perfect example being SparqNet, a platform capable of handling up to 400,000 Transactions Per Second (TPS), ensuring smooth integration with existing ecosystems by domiciling on the Avalanche network. The layer-2 niche has explosive growth potential, as by its $22 billion market capitalization and a 24-hour trading volume of $1.9 billion at the time of writing. In addition to instant transactions, layer-2 platforms, especially on the Ethereum blockchain, also provide zero gas transactions. An example of this is LightLink, a blockchain that lets decentralized applications and enterprises offer users instant, gasless transactions. evidenced Artificial Intelligence (AI) AI emerged as the most popular technology trend in 2023. Because these technologies are so disruptive, it isn't particularly surprising to see that the AI trend seamlessly transcended into the blockchain industry, with technology like ChatGPT gaining widespread attention. Today, the AI market cap is and for an industry that came into prominence last year, the potential to grow even bigger is quite obvious. , $11.5 billion Tech giants like Microsoft and Google are actively investing significant resources in the sector and are coming up with products like ChatGPT and Google Bard that have revolutionized our lives. Many AI crypto projects are leveraging this technology to enhance industry-wide efficiency. AI crypto tokens are cryptocurrencies that power AI blockchain projects like AI-powered image generation, portfolio management, etc. Users need these tokens to use these platforms, and they might also have governance rights on the platform. Some examples of top AI projects include The Graph, Injective, Fetch.ai, Humanity Protocol, etc. Conclusion The niches mentioned in this article are only a glimpse into the thriving ecosystems of the blockchain industry. Each niche is a testament to human ingenuity, and they contribute to building a more innovative and accessible future. One thing, though, is certain: the blockchain revolution is still in its nascent stages, and the possibilities are as limitless as our imagination.

4 Blockchain Niches Pushing the Boundaries of Innovation

Startup founders and builders, are you looking to create magical conversational experiences for your users? Want to build chatbots that feel almost human? Well, let me introduce you to - an open-source conversational AI model that can help bring your visions to life. Vicuna-13B In the world of startups, nailing product-market fit is everything. And one of the best ways to achieve that is by creating delightful user experiences. This is where conversational AI comes in. Chatbots and virtual assistants powered by large language models like Vicuna-13B help you: : Have natural conversations with users to gain insights into their needs, pain points, and motivations. Understand Users Better : Guide users through complex tasks and workflows using an intelligent assistant. Reduce drop-offs in sign-ups, onboarding, and transactions. Guide Users : Build habit-forming product experiences with messaging and notifications powered by AI. Engage and Retain Users : Wow your users with human-like conversational experiences well beyond basic FAQs and scripts. Stand Out from Competition But most large language models are proprietary and inaccessible. This is where Vicuna-13B shines. Let's explore how you can leverage it to take your startup to the next level. How Vicuna-13B Works: Fine-Tuned on Real Conversations Vicuna-13B is built by fine-tuning the powerful LLaMA architecture on 70,000 real multi-turn conversations from ChatGPT. This conversational data helps it handle chatbot interactions naturally. According to evaluations, Vicuna-13B reaches over 90% of ChatGPT's quality while outperforming other publicly available models. The key is its training in real dialog makes conversations contextual, natural, and human-like. Use Cases: Build Smarter Products Here are some ways you can infuse conversational intelligence into your product with Vicuna-13B: Create chatbots that can answer complex questions, recommend products, and have witty conversations. Intelligent Chatbots: Guide users through transactions while answering questions. Reduce cart abandonment. Conversational Commerce: Use conversational data to understand user needs and offer personalized content and recommendations. Hyper-Personalization: Automate common support queries to resolve customer issues faster. Focus human agents on complex tickets. Automate Support: Automate content creation for landing pages, blogs, emails, etc. by describing what you need. Create Content: The best part is getting started with Vicuna-13B is easy. You don't need an AI Ph.D. Just read this article to find out how to use it. How Does it Work? Training Vicuna-13B with Real ChatGPT Conversations Vicuna-13B is built by fine-tuning the LLaMA architecture on a dataset of approximately 70,000 multi-turn conversations collected from . These conversations contain real examples of how users interact with ChatGPT, helping teach the model to converse naturally. ShareGPT.com The training process enhances to handle longer conversational contexts and optimize GPU memory usage. With improvements like gradient checkpointing, the researchers were able to train Vicuna-13B within a day on 8 A100 GPUs while keeping costs low by leveraging spot instances. Stanford's Alpaca model According to preliminary , Vicuna-13B reaches over 90% of the quality of ChatGPT and Google's Bard model. It also outperforms other openly available models like LLaMA and Alpaca in over 90% of test cases. evaluations using GPT-4 as a judge This demonstrates the power of combining a strong foundation like LLaMA with real conversational data to produce an advanced open-source chatbot. Limitations of Vicuna-13B While Vicuna-13B is a powerful and versatile chatbot model, it does have some limitations that users should be aware of: : As with any language model, Vicuna-13B's responses may not always be completely accurate. It can generate plausible-sounding answers, but it might occasionally produce incorrect or nonsensical responses. Response Accuracy : While Vicuna-13B is capable of handling multi-turn conversations to some extent, it may still struggle with long and complex dialogues. In such cases, the model might lose context and generate less relevant responses. Context Understanding : Like many language models, Vicuna-13B can inadvertently reflect biases present in the training data. This could lead to biased or unfair responses in certain scenarios, especially if the training data contains biased language or viewpoints. Bias and Fairness : Vicuna-13B is a large language model, and running it requires significant computational resources, particularly for fine-tuning and serving. Users with limited computing capabilities might face challenges in deploying the model. Computation Resources : Vicuna-13B's performance heavily relies on the quality and diversity of the fine-tuning data. If the dataset used for fine-tuning is limited or unrepresentative, the model's performance may suffer. Fine-Tuning Data : As with any AI model, it is crucial to use Vicuna-13B ethically and responsibly. Avoid deploying the model for malicious purposes, spreading misinformation, or generating harmful content. Ethical Use : Vicuna-13B is intended for research and non-commercial use only. Commercial applications of the model may infringe upon usage restrictions and terms of service. Commercial Use Restrictions : The evaluation of chatbot performance, including Vicuna-13B, remains a complex and evolving field. Preliminary evaluations using GPT-4 are insightful but may not capture all nuances of the model's performance. Evaluation Framework Understanding these limitations will help users make informed decisions when incorporating Vicuna-13B into their projects and applications. As AI technology continues to evolve, addressing these limitations and striving for continuous improvement will be essential in the pursuit of more powerful and responsible AI models. Understanding the Inputs and Outputs of Vicuna-13B Before we dive into using Vicuna-13B to solve specific problems, it's essential to understand its inputs and outputs. The model takes several inputs that influence its behavior and generates a response as its output. Here are the key inputs: : The prompt is the initial text provided to Vicuna-13B, serving as a starting point for generating a response. Prompt : This parameter limits the maximum number of tokens in the generated response. Max_length : Temperature controls the randomness of outputs. Higher values make the responses more random, while lower values make them more deterministic. Temperature : When decoding text, this parameter samples from the top p percentage of most likely tokens. Lower values filter out less likely tokens. Top_p Penalty for repeated words in the generated text; 1 is no penalty, values greater than 1 discourage repetition, and less than 1 encourages it. Repetition_penalty: Seed for a random number generator for reproducibility Seed: A boolean to provide debugging output in the logs Debug: As for the output, Vicuna-13B generates responses in the form of a JSON array of strings. Here's what it looks like: {
  "type": "array",
  "items": {
    "type": "string"
  },
  "title": "Output",
  "x-cog-array-type": "iterator",
  "x-cog-array-display": "concatenate"
} Step-by-Step Guide: Using Vicuna-13B to Enhance Your Chatbot Now, let's explore how to leverage Vicuna-13B to enhance your chatbot. Whether you're a developer or not, there are multiple ways to interact with the model. If you don't like coding and just want to take it for a spin, check out the . model demo If you're ready to start coding so you can eventually implement Vicuna into your product, you can use the Replicate API. Here's a step-by-step guide: Step 1: Install the Node.js Client and Authenticate To begin, install the Node.js client by running . Next, copy your API token from your account settings on AIModels.fyi and set it as an environment variable: . npm install replicate export REPLICATE_API_TOKEN=YOURTOKEN Step 2: Run the Model With the Node.js client and your API token set up, you can now run the model using the following code: import Replicate from "replicate";

const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN });

const output = await replicate.run(
  "replicate/vicuna-13b:6282abe6a492de4145d7bb601023762212f9ddbbe78278bd6771c8b3b2f2a13b",
  {
    input: {
      prompt: "Your chatbot prompt here..."
    }
  }
); Step 3: Set Up a Webhook (Optional) If you want to receive notifications when the prediction is complete, you can set up a webhook URL. This can be beneficial for real-time applications. For example: const prediction = await replicate.predictions.create({
  version: "6282abe6a492de4145d7bb601023762212f9ddbbe78278bd6771c8b3b2f2a13b",
  input: {
    prompt: "Your chatbot prompt here..."
  },
  webhook: "https://example.com/your-webhook",
  webhook_events_filter: ["completed"]
}); By following these steps, you'll be able to interact with Vicuna-13B and witness its impressive chat powers in action. Comparing Vicuna-13B with Similar Models: Alpaca and LLaMA 7B Vicuna-13B, Alpaca, and LLaMA 7B are all language models that excel in various natural language processing tasks. Let's explore their similarities and differences: Vicuna-13B Vicuna-13B is a powerful language model fine-tuned on ChatGPT interactions. It is designed to generate human-like responses given a prompt, making it suitable for chat-based conversation, question-answering, and text-based recommender systems. The model can effectively respond to user queries, hold meaningful conversations, and provide personalized recommendations based on user preferences. Check out the comparison article with LLaMA here. Alpaca Alpaca is another instruction-following model fine-tuned from the LLaMA 7B model on 52K instruction-following demonstrations. It behaves qualitatively similarly to OpenAI’s text-DaVinci-003 while being surprisingly small and easy/cheap to reproduce. Alpaca is designed to generate responses based on specific instructions provided to it, making it suitable for tasks requiring instruction-based language generation. LLaMA 7B LLaMA (and the new LLaMA v2) is a language model implemented using Transformers. It is trained to understand and generate human-like text based on the patterns and information it learns from a large dataset. LLaMA 7B has a wide range of use cases, including language generation, text completion, and language understanding tasks. It can be used for writing articles, generating dialogue for virtual characters, predictive typing, chatbots, and language translation systems. You might like this article comparing LLaMA-v2-Chat to Alpaca. Use Cases Vicuna-13B: Vicuna excels in chat-based conversation, question answering, and text-based recommender systems. It is ideal for creating interactive and engaging chatbots and providing accurate responses to user questions. Alpaca: Alpaca is specialized in instruction-following tasks. It can follow specific instructions provided to it and generate responses based on those instructions. LLaMA 7B: LLaMA 7B is a versatile language model capable of various language tasks, including text generation, text completion, and language understanding. It can be applied in multiple applications, such as content generation, predictive typing, and summarization. Technical Implementation Vicuna-13B and Alpaca both use fine-tuning techniques to enhance their performance based on specific datasets and tasks. LLaMA 7B is implemented using Transformers, a type of deep learning model known for its success in natural language processing tasks. Each model may have its unique limitations, which should be considered based on the specific use case and requirements. In summary, Vicuna-13B, Alpaca, and LLaMA 7B are powerful language models with distinct strengths and applications. While Vicuna-13B shines in chat-based conversation and question answering, Alpaca is ideal for instruction-following tasks. On the other hand, LLaMA 7B's versatility allows it to be used in a wide range of language-related applications. When choosing the most suitable model, it is essential to consider the specific use case and the type of language tasks required. Finding Similar Models with AIModels.fyi AIModels.fyi is an invaluable resource for discovering AI models that cater to various creative needs. If you're interested in finding models similar to Vicuna-13B, you can follow these steps: Step 1: Visit AIModels.fyi Head over to to begin your search for similar models. AIModels.fyi Step 2: Use the Search Bar Use the search bar at the top of the page to search for models with specific keywords related to your use case. For instance, if you're looking for chatbot models similar to Vicuna-13B, you can try using keywords like "chatbot," "conversation," or "question-answering." Step 3: Filter the Results On the left side of the search results page, you'll find several filters that can help you narrow down the list of models. You can filter and sort the models by type (e.g., Image-to-Image, Text-to-Image), cost, popularity, or specific creators. For instance, if you're looking for text-based chatbot models, you can filter the models by selecting the "Text-to-Text" type. Additionally, you can sort the models by popularity or cost to find the most widely-used or budget-friendly options. Step 4: Explore the Results Browse through the search results to find models that catch your interest. Click on each model's name to access its detailed information page, which includes capabilities, use cases, technical specifications, and more. Step 5: Compare and Choose Compare the features and capabilities of the models you've shortlisted. Consider factors such as response accuracy, context understanding, computational requirements, and ethical considerations. This will help you decide which model aligns best with your specific needs and use case. Using , you can efficiently explore and compare various AI models, enabling you to make informed decisions and select the most suitable model for your creative projects. AIModels.fyi Conclusion: Embrace the Creative Possibilities of AI I hope this guide has inspired you to explore the creative possibilities of AI with Vicuna-13B and other incredible models. By leveraging AIModels.fyi, you can continue to discover and experiment with cutting-edge AI technologies. Don't forget to subscribe to for more tutorials, updates on new AI models, and a wealth of inspiration for your next creative project. Happy building and exploring the world of AI! AIModels.fyi For more updates and insights, you can also follow me on and check out my build-in-public stories on . Let's embark on this AI journey together! Twitter notes.aimodels.fyi Also published . here

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