Zora is a group of individuals working towards a new paradigm for creators by enabling the creation, curation, and collection of cryptomedia (https://cryptomedia

Zora

Dear HackerNoon Nation, Happy Thanksgiving! 🦃 One of the things I’m thankful for is having the opportunity to explore and work around NFTs, which offer new and more open ways for creators to advance their practices. That said, one of my favorite NFT projects is because of its impressive suite of creator resources. And I’m excited and grateful that the Zora team just released their new Drops tool, which makes it easier than ever to deploy large unique NFT collections. Zora Want to learn the basic ins and outs of this new resource? I’ve got you covered for today’s post! -WMP What Is Zora 🌜🌞🌛 Zora is a on Ethereum. This protocol, or , makes it easy to buy, create, or sell NFTs in a decentralized and permissionless fashion, forevermore. universal media registry protocol hyperstructure Why It matters ❓ There is a range of do-it-yourself NFT solutions for minting 1/1s (unique standalone pieces), 1/x (e.g., 1/10s, which have 10 copies of one piece), and (e.g.m 1 NFT published every day). limited-edition collections Nounish drops . However, is the first service anyone can use to create 1/1/x drops, where every piece is unique but part of a larger cohesive collection Zora Drops Why Zora Drops Are Useful 📁 Zora Drops are user-controlled and user-friendly tooling. They offer: — *Minting costs are inexpensive * Gas-efficiency In-built sales — Native public and presale mechanisms available for dropping tokens — No-code UX Deploy your own NFT metadata and smart contracts without being a programmer — Simple uploads Batch upload prepared folders of unique files Creating Your Own 1/1/x NFT Drop 🖱️ To use Zora Drops you would follow these simple steps: Navigate to and connect your wallet , create.zora.co/create Click the “Drops” button Upload your desired metadata folder Preview and tweak your prospective mints Finish your collection parameters Complete the mint transaction with a wallet signature, and that’s it! More Flexibility for Creators 🔥 Let’s say you’re a poet who wants to mint a collection of 100 unique poems all at once. Previously, you could have gone to an NFT minting platform and manually minted one poem at a time. The process would’ve probably taken a couple of hours in requiring you to deploy each one of these NFTs individually with hundreds of clicks after all was said and done. This approach isn’t efficient. With Zora Drops, though, now creators can simply upload a folder of unique pieces, e.g., 100 poems, and use a streamlined UI for preparing and publishing these works into a large NFT collection. What would’ve taken hundreds of clicks otherwise now just takes a handful, so the UX leap forward is significant here. This leap forward is why Zora Drops is the latest great resource that NFT creatives should consider working into their web3 toolboxes! Action Steps 🎴 Check out Zora’s new Drops tooling 💎 Read my previous post if you missed it! Finding new NFT mints with Gem Author Bio is a professional writer and creator of —a Bankless newsletter focused on the emergence of NFTs in the cryptoeconomy. He’s also recently been contributing content to Bankless, JPG, and beyond! William M. Peaster Metaversal

Zora: What It Is and Why It's Essential for NFT Creators

Dear Bankless Nation, Nouns DAO is the decentralized collective that funds its CC0 brand with “one a day” NFT avatar auctions. These auctions are automated, onchain, and perpetual thanks to the uniquely designed Nouns protocol. We’ve seen of projects fork off this protocol to create their own custom “Nounish” projects last year. dozens since Nouns DAO launched Before now, though, a dev with technical know-how had to conduct and build out these forks manually. That’s all changing today with the launch of Nouns Builder, a new no-code tool by Zora for creating Nouns forks in a DIY fashion. https://twitter.com/nounsbuilder/status/1587460414488576000?s=20&t=RBQY1NGLgTGZ5kfx1wOhzw?embedable=true Let’s cover all the basics of this awesome new resource for today’s post! -WMP ⌛ Create your own Nounish DAO in minutes! 🏭 Nouns Builder explained “ Instead of giving all power and capital solely to a project’s founders, the Nouns model enables communities to emerge progressively, and to be active participants in how their brand and community evolves. ” — ” [...] For the past couple of months we have been working on the Nouns Builder: a product that makes it easy for anyone to create their own Nouns DAO with any art, any auction cadence and flexible DAOs that can evolve over time. Zora’s Nouns Builder proposal is a new Zora tool that can help you form a DAO in minutes and then sustain it over time through Nouns DAO-like auctions. Nouns Builder All the technicalities of the process are abstracted away under the hood, so users can just go through a simple UI to jumpstart their own Nounish communities rather than having to manually build or fork out their auction, governance, and treasury infrastructure. The grand idea? To proliferate the accessibility of the Nounish distribution mechanism and offer DAOs composable and upgradeable infra they can grow and maintain funds through for the long term. How you order your community is totally up to you, from customizing your auction schedule, like one NFT per week instead of per day, to setting up the art for your generative NFTs. For the art, Zora recommends uploading square .png images (600px x 600px minimum) or .svg images (32px x 32px minimum) organized in a folder, and they’ve provided an to illustrate how the generative process works. example artwork toolkit Other elements of your DIY DAO that Nouns Builder helps you set up include your auction’s reserve price, proposal and quorum thresholds for governance, founder configurations, and beyond. The tool doesn’t charge a protocol fee either, so it’s the latest public good to arrive in the NFT space. How Builder DAO factors in Builder DAO is the group that will govern Nouns Builder and proliferate its ecosystem. To kick off and sustain this collective, Builder DAO is launching its own daily auctions through the Nouns Builder system. The artworks for these Builder NFTs are based on the notion of internet flags composed of unicode symbols. The end results will look something like this, although each mint will be unique because of the many variations possible: “We believe it is important to experiment with Nouns forks as a way to further particular pieces of infrastructure within the Nounish ecosystem,” the Zora team has said. “Instead of funded LLCs and companies to manage tools like Nouns Builder, we want to actively explore using a Nounish DAO as the primary entity to further a public protocol and an ecosystem of many platforms built on top of it.” Additionally, Zora has proposed Nouns DAO seed Builder DAO’s treasury with 1,000 ETH so the project can immediately spring into further development and proliferation activities. Why it Matters https://twitter.com/jacksondahl/status/1587470690629754880?s=20&t=ay1xD9y_xSB_rurUYd2o4A?embedable=true In my opinion, the “Nounish” distribution mechanism is the most important NFT primitive to come out of the last bull run, and I think it will be experimented on and built around for decades to come. That said, Nouns Builder is poised to be a huge catalyst for continued NFT community experiments. I can’t tell you how many times over the last year I’ve talked with friends and colleagues about launching a project using the Nouns DAO model, but before now, the technical obstacles were just too daunting. Nouns Builder is a game changer in that regard because it makes it so can simply launch their own custom Nouns fork however you want. It’s just one more step toward Nouns and the wider Nounish ecosystem being an all-out movement at the crossroads of art and software. anyone https://twitter.com/hongkim__/status/1587165077475454976?s=20&t=XZPuYka7wsHNCStL-GJdSg?embedable=true Action steps 🧱 Check out Nouns Builder 🔴 Read my previous post Optimistic on OpCraft Author Bio is a professional writer and creator of —a Bankless newsletter focused on the emergence of NFTs in the cryptoeconomy. He’s also recently been contributing content to Bankless, JPG, and beyond! William M. Peaster Metaversal

Build a DAO in Minutes with Zora's New Nouns Builder🧱

Dear HackerNoon Nation, There are a variety of . NFT drop styles Of those styles, open edition (OE) releases have been surging in popularity lately. OE drops involve a creator or project releasing an NFT with , and they can come in different styles. no hard supply cap For example, “timed” OEs are only open during customizable periods of time, while “infinite” OEs never close. For today’s post, let’s get you up to speed on the basics of the ongoing open edition boom! -WMP From rarity to abundance: the shift in the NFT market toward OE drops What’s up ❓ OE drop stats are up and to the right recently as more creators are turning to “do it yourself” NFT minting systems like and , both of which activated their latest editioned NFT drop infra in Fall 2022. Manifold Zora The Context 💯 DIY OE services like Manifold Claim Pages or Zora Editions democratize access to flexible NFT minting to web3 creators; in contrast, it wasn’t that long ago that all the prominent NFT art platforms with the best NFT minting features were invite-only. all It wasn’t long ago that the OpenSea Shared Storefront, which has key disadvantages like NFT quality because of the shared smart contract, was really the only venue to do simple DIY NFT minting, and even then only 1/1s or capped collections were possible. also Accordingly, the democratization + quality + more advanced mint possibilities afforded by Manifold and Zora have been propelling these projects to new heights and increasingly popularizing OEs, which are now among these projects’ most in-demand use cases. Lastly, the 2022 crypto bear market drama renewed an emphasis on the values of decentralization and self-sovereignty in the NFT ecosystem, and as such a growing number of creators are turning to Manifold and Zora as infra that embodies and actualizes these ideals in superior fashion! By the Numbers 📊 Manifold Claim Pages, which is the system within Manifold that lets creators easily create limited edition or OE NFT drops, has seen some impressive growth since publicly launching last October. According to the Dune dashboard, there have been nearly 12,000 distinct Claim Pages drops that have accounted for over 40 million NFT mints and nearly 9,000Ξ (or +$11M USD worth) of total volume to date. Manifold Claims Not too shabby right! As this same Dune dashboard shows us, the number of volume, Claim drops, and Claim mints over time have also been uptrending considerably over the past couple of months: Manifold Claim stats Some of these stats are from “limited edition” drops and not OE releases, of course, but there’s no question that OEs have been a massive driver of this recent growth. As for Zora, the NFT protocol now has among the best daily active user (DAU) numbers in all of crypto, and the growing popularity of Zora’s Editions and Drops services are big contributing factors here. https://twitter.com/tokenterminal/status/1612521955202064403?s=20&t=h2ww3ynP8Y40epgTzJfE0w&embedable=true Recent OE Examples 🆕 To give you a better idea for how many OE drops are launched, here are a few examples I’ve recently seen announced on Twitter: https://twitter.com/brandonmighty/status/1612819027050504192?s=20&t=uui5JniDwTdFUxk1Fnd0Pw&embedable=true https://twitter.com/terminatezz/status/1612759146503499777?s=20&t=1TCrMtpoTGxHViq8pnK89Q&embedable=true https://twitter.com/lolahubner_/status/1610025831203737600?s=20&t=jEiOHM4KGlLU6ZrCdPWqhQ&embedable=true Finding OEs 🔍 Following the social media accounts of creators you’re fans of is probably the best way to find OE mints that will be tailored to your tastes. However, if you’re not one to be glued to social media, there discovery services you can check from time to time to try finding ongoing OEs. are One of these services? . The NFT marketplace aggregator Gem If you go to the on Gem and surf through the real-time mints, you can periodically come across OE drops right as they’re happening. This route obviously takes some digging, and many of the mints that appear won’t be OEs, but this dashboard is still really useful UX-wise. “Discover” tab Another similar service is , where you can use the “Minting Now” dashboard to also periodically discover OE drops. mint.fun The Bottom Line 🧠 OEs are an interesting avenue creators can explore for expanding their audience and collector bases. For example, if you’re an artist who’s only done 1/1 or small editioned series before, an OE drop is one way to let more fans directly into your community. Additionally, OEs can pave the way to new sorts of collaborative experiments, from “burn to redeem” mechanisms to crypto-native production houses and beyond: https://twitter.com/js_horne/status/1609965870373109760?s=20&t=7Ae3f23sOh2eu-ZGb1CJxA&embedable=true Collector vs. Investor Tensions 💢 Nouns DAO recently conducted its first OE drop for “ ,” an incredible ad created for the Nouns ecosystem. The mint was purely commemorative and no additional promises were made around it, but that didn’t stop some investors from complaining afterwards once they realized no roadmap or direct utility was in store. This Is Nouns Notice there that I said “investors” and not “collectors,” and that distinction is important when it comes to expectations. Betting on OEs financially isn’t wise. OEs as digital memorabilia and to provide patronage to creators you like is the ticket, though, and anything that comes beyond that is just icing on cake. Collecting https://twitter.com/bryanbrinkman/status/1612947884118245377?s=20&t=fsccIDHdG1XEgqsiJ5UYaA&embedable=true Who knows? Maybe in 50 years or less the near-free OE you grabbed in 2023 be extremely valuable. In many cases that likely won’t be true, though, so if you treat OE mints as interesting souvenirs rather than financial instruments, you’ll spare yourself some frustrations. will Similarly, some investor types don’t like OEs because they argue the larger supply influxes can dilute the value of a creator’s existing 1/1s and small series. This is a short-sighted take, and in my opinion the opposite is more often to be true. When done shrewdly, creating and publishing NFTs via OEs is a viable way for creators to strategically grow their communities and potentially achieve . that much more success https://twitter.com/artnome/status/1488841834264674308?s=20&t=70h3TwmSvzX3kk2iUbSpQA&embedable=true Author Bio is a professional writer and creator of —a Bankless newsletter focused on the emergence of NFTs in the cryptoeconomy. He’s also recently been contributing content to Bankless, JPG, and beyond! William M. Peaster Metaversal Also published . here

Exploring the Boom in Open Edition NFT Drops 📈

Explorando el Boom en Open Edition NFT Drops 📈

Explorer le boom dans Open Edition NFT Drops 📈

ओपन एडिशन एनएफटी ड्रॉप्स में बूम की खोज 📈

オープン エディションの NFT ドロップでブームを探る 📈

Explorando o Boom em Open Edition NFT Drops 📈

Khám phá sự bùng nổ trong NFT Drops phiên bản mở 📈

探索开放版 NFT 掉落的繁荣 📈

“The most profound technologies are those that disappear. They weave themselves into the fabric of everyday life until they are indistinguishable from it.” Mark Weiser Ubiquitous Computing We begin with Mark Weiser, an American computer scientist who coined the term “ubiquitous computing” in 1988. His ideas profoundly influenced the world of computer science. Ubiquitous computing, also known as pervasive computing, envisions embedding computing power into everyday objects and environments, making technology omnipresent yet invisible to users. It aims to provide seamless interaction and services, enhancing daily activities without requiring direct engagement or conscious awareness. To achieve this vision, we need to understand some key concepts: Context-Aware Computing: Systems that adapt to the user’s environment and context (e.g., location, time, activity) to provide personalized and relevant information or services.


Direct Manipulation: Reducing the information processing distance between the user’s intentions and the machine’s capabilities by using familiar metaphors and intuitive interactions from the physical world.


Software Agents: Computer programs that act autonomously on behalf of users or other programs to perform specific tasks, often without direct user intervention. In order to achieve intuitive and seamless navigation in the digital world using metaphors and mental models from the physical world, we’ll need to find the balance between autonomous context-aware software agents and direct manipulation. Achieving this balance is key in our pursuit of the true ubiquities of computing. The Chatbot Oracle The reason for this introduction is to equip us with the tools to assess how AI fits into our daily lives by following these concepts and whether it has achieved ubiquity. In my opinion, the general public’s primary interaction with AI nowadays occurs through chatbots, engaging in a dialogue with an “oracle.” Engaging in this question-and-answer format has created, in quite a short period of time, a mental model that has shaped the public perception of AI as an omniscient oracle. This perception has influenced both how people view AI and how companies and organizations implement AI within their operations. The current trend of deploying basic chatbots reflects a lack of thoughtful design in AI integration. Businesses should move beyond this mental model and explore ways to seamlessly weave AI into their products for a ubiquitous and impactful user experience. Envisioning Seamless AI Integration The current paradigm of perceiving AI primarily through the lens of chatbots is a limited view of AI’s true potential. While chatbots serve as a mental model to demonstrate the capabilities of large language models (LLMs) like ChatGPT, it is crucial to recognize that chatbots are merely one application of AI. The true potential of AI lies in our ability to seamlessly integrate it into the background of our daily lives, working invisibly and intuitively to enhance our experiences. Imagine a world where AI isn’t confined to a chatbot window. It anticipates your needs and preferences, subtly woven into the fabric of your everyday activities. This seamless integration depends on our ability to think outside the box on how to make AI a more context-aware software agent, implementing the subtle concepts of direct manipulation. References: The Computer for the 21st Century: https://www.youtube.com/watch?v=CkHALBOqn7s&ab_channel=NicolaBrown https://www.bizjournals.com/jacksonville/news/2024/02/23/ai-chatbot-small-businesses-liability-chatgpt.html https://www.consumerfinance.gov/data-research/research-reports/chatbots-in-consumer-finance/chatbots-in-consumer-finance/ Amit Zoran’s course — “Interaction” in in the Hebrew University. “The most profound technologies are those that disappear. They weave themselves into the fabric of everyday life until they are indistinguishable from it.” “The most profound technologies are those that disappear. They weave themselves into the fabric of everyday life until they are indistinguishable from it.” Mark Weiser Mark Weiser Ubiquitous Computing Ubiquitous Computing We begin with Mark Weiser, an American computer scientist who coined the term “ubiquitous computing” in 1988. His ideas profoundly influenced the world of computer science. Ubiquitous computing, also known as pervasive computing, envisions embedding computing power into everyday objects and environments, making technology omnipresent yet invisible to users. It aims to provide seamless interaction and services, enhancing daily activities without requiring direct engagement or conscious awareness. To achieve this vision, we need to understand some key concepts: Context-Aware Computing: Systems that adapt to the user’s environment and context (e.g., location, time, activity) to provide personalized and relevant information or services. Direct Manipulation: Reducing the information processing distance between the user’s intentions and the machine’s capabilities by using familiar metaphors and intuitive interactions from the physical world. Software Agents: Computer programs that act autonomously on behalf of users or other programs to perform specific tasks, often without direct user intervention. Context-Aware Computing: Systems that adapt to the user’s environment and context (e.g., location, time, activity) to provide personalized and relevant information or services. Context-Aware Computing: Systems that adapt to the user’s environment and context (e.g., location, time, activity) to provide personalized and relevant information or services. Context-Aware Computing: Direct Manipulation: Reducing the information processing distance between the user’s intentions and the machine’s capabilities by using familiar metaphors and intuitive interactions from the physical world. Direct Manipulation: Reducing the information processing distance between the user’s intentions and the machine’s capabilities by using familiar metaphors and intuitive interactions from the physical world. Direct Manipulation: Software Agents: Computer programs that act autonomously on behalf of users or other programs to perform specific tasks, often without direct user intervention. Software Agents: Computer programs that act autonomously on behalf of users or other programs to perform specific tasks, often without direct user intervention. Software Agents: In order to achieve intuitive and seamless navigation in the digital world using metaphors and mental models from the physical world, we’ll need to find the balance between autonomous context-aware software agents and direct manipulation. Achieving this balance is key in our pursuit of the true ubiquities of computing. The Chatbot Oracle The Chatbot Oracle The reason for this introduction is to equip us with the tools to assess how AI fits into our daily lives by following these concepts and whether it has achieved ubiquity. In my opinion, the general public’s primary interaction with AI nowadays occurs through chatbots, engaging in a dialogue with an “oracle.” Engaging in this question-and-answer format has created, in quite a short period of time, a mental model that has shaped the public perception of AI as an omniscient oracle. This perception has influenced both how people view AI and how companies and organizations implement AI within their operations. The current trend of deploying basic chatbots reflects a lack of thoughtful design in AI integration. Businesses should move beyond this mental model and explore ways to seamlessly weave AI into their products for a ubiquitous and impactful user experience. Envisioning Seamless AI Integration Envisioning Seamless AI Integration The current paradigm of perceiving AI primarily through the lens of chatbots is a limited view of AI’s true potential. While chatbots serve as a mental model to demonstrate the capabilities of large language models (LLMs) like ChatGPT, it is crucial to recognize that chatbots are merely one application of AI. The true potential of AI lies in our ability to seamlessly integrate it into the background of our daily lives, working invisibly and intuitively to enhance our experiences. Imagine a world where AI isn’t confined to a chatbot window. It anticipates your needs and preferences, subtly woven into the fabric of your everyday activities. This seamless integration depends on our ability to think outside the box on how to make AI a more context-aware software agent, implementing the subtle concepts of direct manipulation. References: References: The Computer for the 21st Century: https://www.youtube.com/watch?v=CkHALBOqn7s&ab_channel=NicolaBrown https://www.youtube.com/watch?v=CkHALBOqn7s&ab_channel=NicolaBrown https://www.bizjournals.com/jacksonville/news/2024/02/23/ai-chatbot-small-businesses-liability-chatgpt.html https://www.bizjournals.com/jacksonville/news/2024/02/23/ai-chatbot-small-businesses-liability-chatgpt.html https://www.consumerfinance.gov/data-research/research-reports/chatbots-in-consumer-finance/chatbots-in-consumer-finance/ https://www.consumerfinance.gov/data-research/research-reports/chatbots-in-consumer-finance/chatbots-in-consumer-finance/ Amit Zoran’s course — “Interaction” in in the Hebrew University. Amit Zoran’s

Navigating the AI Landscape: Beyond the Chatbot

Authors:
(1) Kexun Zhang, UC Santa Barbara and Equal contribution;
(2) Hongqiao Chen, Northwood High School and Equal contribution;
(3) Lei Li, Carnegie Mellon University;
(4) William Yang Wang,UC Santa Barbara. Table of Links Abstract and Intro
Related Work
ToolDec: LLM Tool Use via Finite-State Decoding
Experiment: ToolDec Eliminates Syntax Errors
Experiment: ToolDec Enables Generalizable Tool Selection
Conclusion and References
Appendix 6. CONCLUSION This paper presents TOOLDEC, a novel decoding algorithm designed to enhance Large Language Models (LLMs) by integrating external tools and ensuring their invocation is syntax-error-free. TOOLDEC, guided by a finite-state machine constructed from tool documentation and API signatures, accurately represents the grammar of tool calls, addressing prevalent issues like erroneous tool calls and poor generalization to unseen tools in existing models. Experiments demonstrate that TOOLDEC eliminates tool-related syntax errors, improves accuracy, and saves inference time across various benchmarks. It also exhibits the ability to generalize to unseen tools in multiple domains without additional fine-tuning data. The advancements by TOOLDEC open avenues for research in developing more sophisticated models adaptable to a wider range of tools and applications without additional training data, leading to more versatile and robust LLMs capable of solving a broader spectrum of complex problems. The success of TOOLDEC in eliminating syntax errors can inspire research focusing on semantic accuracy and contextual relevance of tool calls. This can lead to models that invoke, understand, and leverage tools more effectively, enhancing LLMs’ overall problem-solving capabilities. REFERENCES Peter Anderson, Basura Fernando, Mark Johnson, and Stephen Gould. Guided open vocabulary image captioning with constrained beam search. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pp. 936–945, Copenhagen, Denmark, September 2017. Association for Computational Linguistics. doi: 10.18653/v1/D17-1098. URL https://aclanthology.org/D17-1098. 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Reiichiro Nakano, Jacob Hilton, Suchir Balaji, Jeff Wu, Long Ouyang, Christina Kim, Christopher Hesse, Shantanu Jain, Vineet Kosaraju, William Saunders, et al. Webgpt: Browser-assisted question-answering with human feedback. arXiv preprint arXiv:2112.09332, 2021. Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. Training language models to follow instructions with human feedback. Advances in Neural Information Processing Systems, 35: 27730–27744, 2022. Aaron Parisi, Yao Zhao, and Noah Fiedel. Talm: Tool augmented language models. arXiv preprint arXiv:2205.12255, 2022. Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, et al. Toolllm: Facilitating large language models to master 16000+ real-world apis. arXiv preprint arXiv:2307.16789, 2023. Pushpendre Rastogi, Ryan Cotterell, and Jason Eisner. Weighting finite-state transductions with neural context. In Proceedings of the 2016 conference of the North American chapter of the Association for Computational Linguistics: human language technologies, pp. 623–633, 2016. Timo Schick, Jane Dwivedi-Yu, Roberto Dess`ı, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom. Toolformer: Language models can teach themselves to use tools. arXiv preprint arXiv:2302.04761, 2023. Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, and Yueting Zhuang. Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face, 2023. Yifan Song, Weimin Xiong, Dawei Zhu, Wenhao Wu, Han Qian, Mingbo Song, Hailiang Huang, Cheng Li, Ke Wang, Rong Yao, Ye Tian, and Sujian Li. Restgpt: Connecting large language models with real-world restful apis, 2023. Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothee´ Lacroix, Baptiste Roziere, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Ar- ` mand Joulin, Edouard Grave, and Guillaume Lample. Llama: Open and efficient foundation language models, 2023. Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. React: Synergizing reasoning and acting in language models, 2023. Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric. P Xing, Hao Zhang, Joseph E. Gonzalez, and Ion Stoica. Judging llm-as-a-judge with mt-bench and chatbot arena, 2023. This paper is available on arxiv under CC 4.0 DEED license. Authors: (1) Kexun Zhang, UC Santa Barbara and Equal contribution; (2) Hongqiao Chen, Northwood High School and Equal contribution; (3) Lei Li, Carnegie Mellon University; (4) William Yang Wang,UC Santa Barbara. Authors: Authors: (1) Kexun Zhang, UC Santa Barbara and Equal contribution; (2) Hongqiao Chen, Northwood High School and Equal contribution; (3) Lei Li, Carnegie Mellon University; (4) William Yang Wang,UC Santa Barbara. Table of Links Abstract and Intro Related Work ToolDec: LLM Tool Use via Finite-State Decoding Experiment: ToolDec Eliminates Syntax Errors Experiment: ToolDec Enables Generalizable Tool Selection Conclusion and References Appendix Abstract and Intro Abstract and Intro Related Work Related Work ToolDec: LLM Tool Use via Finite-State Decoding ToolDec: LLM Tool Use via Finite-State Decoding Experiment: ToolDec Eliminates Syntax Errors Experiment: ToolDec Eliminates Syntax Errors Experiment: ToolDec Enables Generalizable Tool Selection Experiment: ToolDec Enables Generalizable Tool Selection Conclusion and References Conclusion and References Appendix Appendix 6. CONCLUSION This paper presents TOOLDEC, a novel decoding algorithm designed to enhance Large Language Models (LLMs) by integrating external tools and ensuring their invocation is syntax-error-free. TOOLDEC, guided by a finite-state machine constructed from tool documentation and API signatures, accurately represents the grammar of tool calls, addressing prevalent issues like erroneous tool calls and poor generalization to unseen tools in existing models. Experiments demonstrate that TOOLDEC eliminates tool-related syntax errors, improves accuracy, and saves inference time across various benchmarks. It also exhibits the ability to generalize to unseen tools in multiple domains without additional fine-tuning data. The advancements by TOOLDEC open avenues for research in developing more sophisticated models adaptable to a wider range of tools and applications without additional training data, leading to more versatile and robust LLMs capable of solving a broader spectrum of complex problems. The success of TOOLDEC in eliminating syntax errors can inspire research focusing on semantic accuracy and contextual relevance of tool calls. This can lead to models that invoke, understand, and leverage tools more effectively, enhancing LLMs’ overall problem-solving capabilities. REFERENCES Peter Anderson, Basura Fernando, Mark Johnson, and Stephen Gould. Guided open vocabulary image captioning with constrained beam search. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pp. 936–945, Copenhagen, Denmark, September 2017. Association for Computational Linguistics. doi: 10.18653/v1/D17-1098. URL https://aclanthology.org/D17-1098. Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George Bm Van Den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, et al. Improving language models by retrieving from trillions of tokens. In International conference on machine learning, pp. 2206–2240. PMLR, 2022. Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. Language models are few-shot learners. Advances in neural information processing systems, 33:1877–1901, 2020. Wenhu Chen, Xueguang Ma, Xinyi Wang, and William W Cohen. Program of thoughts prompting: Disentangling computation from reasoning for numerical reasoning tasks. arXiv e-prints, pp. arXiv–2211, 2022. Jason Eisner. Parameter estimation for probabilistic finite-state transducers. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, pp. 1–8, 2002. Edward Fredkin. Trie memory. Communications of the ACM, 3(9):490–499, 1960. Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, and Graham Neubig. Pal: Program-aided language models. In International Conference on Machine Learning, pp. 10764–10799. PMLR, 2023. Tanmay Gupta and Aniruddha Kembhavi. Visual programming: Compositional visual reasoning without training. ArXiv, abs/2211.11559, 2022. Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, and Mingwei Chang. Retrieval augmented language model pre-training. In International conference on machine learning, pp. 3929–3938. PMLR, 2020. Shibo Hao, Tianyang Liu, Zhen Wang, and Zhiting Hu. Toolkengpt: Augmenting frozen language models with massive tools via tool embeddings. arXiv preprint arXiv:2305.11554, 2023. Chris Hokamp and Qun Liu. Lexically constrained decoding for sequence generation using grid beam search. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 1535–1546, Vancouver, Canada, July 2017. Association for Computational Linguistics. doi: 10.18653/v1/P17-1141. URL https:// aclanthology.org/P17-1141. Jan-Christoph Kalo and Leandra Fichtel. Kamel : Knowledge analysis with multitoken entities in language models. Automated Knowledge Base Construction, 2022. Li Li, Wu Chou, Wei Zhou, and Min Luo. Design patterns and extensibility of rest api for networking applications. IEEE Transactions on Network and Service Management, 13(1):154–167, 2016. Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, and Yejin Choi. Neurologic decoding:(un) supervised neural text generation with predicate logic constraints. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 4288–4299, 2021. Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, et al. Neurologic a* esque decoding: Constrained text generation with lookahead heuristics. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 780–799, 2022. Gregoire Mialon, Roberto Dess ´ `ı, Maria Lomeli, Christoforos Nalmpantis, Ram Pasunuru, Roberta Raileanu, Baptiste Roziere, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, et al. Augmented ` language models: a survey. arXiv preprint arXiv:2302.07842, 2023. Ning Miao, Hao Zhou, Lili Mou, Rui Yan, and Lei Li. Cgmh: Constrained sentence generation by metropolis-hastings sampling. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 33, pp. 6834–6842, 2019. Reiichiro Nakano, Jacob Hilton, Suchir Balaji, Jeff Wu, Long Ouyang, Christina Kim, Christopher Hesse, Shantanu Jain, Vineet Kosaraju, William Saunders, et al. Webgpt: Browser-assisted question-answering with human feedback. arXiv preprint arXiv:2112.09332, 2021. Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. Training language models to follow instructions with human feedback. Advances in Neural Information Processing Systems, 35: 27730–27744, 2022. Aaron Parisi, Yao Zhao, and Noah Fiedel. Talm: Tool augmented language models. arXiv preprint arXiv:2205.12255, 2022. Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, et al. Toolllm: Facilitating large language models to master 16000+ real-world apis. arXiv preprint arXiv:2307.16789, 2023. Pushpendre Rastogi, Ryan Cotterell, and Jason Eisner. Weighting finite-state transductions with neural context. In Proceedings of the 2016 conference of the North American chapter of the Association for Computational Linguistics: human language technologies, pp. 623–633, 2016. Timo Schick, Jane Dwivedi-Yu, Roberto Dess`ı, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom. Toolformer: Language models can teach themselves to use tools. arXiv preprint arXiv:2302.04761, 2023. Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, and Yueting Zhuang. Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face, 2023. Yifan Song, Weimin Xiong, Dawei Zhu, Wenhao Wu, Han Qian, Mingbo Song, Hailiang Huang, Cheng Li, Ke Wang, Rong Yao, Ye Tian, and Sujian Li. Restgpt: Connecting large language models with real-world restful apis, 2023. Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothee´ Lacroix, Baptiste Roziere, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Ar- ` mand Joulin, Edouard Grave, and Guillaume Lample. Llama: Open and efficient foundation language models, 2023. Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. React: Synergizing reasoning and acting in language models, 2023. Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric. P Xing, Hao Zhang, Joseph E. Gonzalez, and Ion Stoica. Judging llm-as-a-judge with mt-bench and chatbot arena, 2023. This paper is available on arxiv under CC 4.0 DEED license. This paper is available on arxiv under CC 4.0 DEED license. available on arxiv

Syntax Error-Free and Generalizable Tool Use for LLMs: Conclusion and References

এলএলএম-এর জন্য সিনট্যাক্স ত্রুটি-মুক্ত এবং সাধারণীকরণযোগ্য টুল ব্যবহার: উপসংহার এবং রেফারেন্স

Syntaxfehlerfreier und generalisierbarer Tooleinsatz für LL.M.: Fazit und Referenzen

Uso de herramientas generalizables y sin errores de sintaxis para LLM: conclusiones y referencias

Utilisation d'outils de syntaxe sans erreur et généralisables pour les LLM : conclusion et références

एलएलएम के लिए वाक्यविन्यास त्रुटि-मुक्त और सामान्यीकरण योग्य उपकरण का उपयोग: निष्कर्ष और संदर्भ

LLM における構文エラーのない一般化可能なツールの使用: 結論と参考文献

LLM을 위한 구문 오류가 없고 일반화 가능한 도구 사용: 결론 및 참조

Uso de ferramenta generalizável e livre de erros de sintaxe para LLMs: conclusão e referências

Использование без синтаксических ошибок и обобщения инструментов для программ LLM: выводы и ссылки

Yüksek Lisans'lar için Sözdizimi Hatasız ve Genelleştirilebilir Araç Kullanımı: Sonuç ve Referanslar

Sử dụng công cụ không có lỗi và có thể khái quát hóa cho LLM: Kết luận và tài liệu tham khảo

语法无错误且可推广的法学硕士工具使用：结论和参考文献

Non-Fungible Tokens (NFTs) took the digital world by storm in recent years, providing a novel foundation for extreme innovation in digital art, collectibles, and other assets using blockchain technology. However, after an initial frenzy of excitement and exorbitant sales, the NFT market experienced a significant slowdown. Now, signs are pointing to a potential resurgence. But what factors are necessary for NFTs to make a successful comeback? In this article, we'll delve into the key elements the NFT market needs to reignite its momentum. For NFTs to regain traction, they need to offer more than just digital bragging rights. Enhancing the utility of NFTs by enabling interoperability across different platforms and applications could unlock new use cases and value propositions. For example, NFTs could be integrated into gaming ecosystems, virtual worlds, or even financial services, allowing users to leverage their digital assets in diverse ways. Nevertheless, several industry participants have looked clearly into the market and are now working to ensure that developers in the NFT sub-genre have the resources that they need to really optimize their profitability and efficiency. Olly Wilson, CEO and co-founder of the leading NFT data aggregator, SimpleHash, contributed to our research to highlight some of the key issues that need to be tackled to start seeing scale. 1. What role do you envision SimpleHash playing in the NFT space? We abstract away all of the complexity of dealing with NFT data for developers. Instead of worrying about standards, support for different chains, integrating with multiple marketplaces, and spending time and money on NFT storage and compute, we handle it for them. Instead of worrying about infrastructure, crypto teams working with NFTs can focus on building the best end-user experience possible. 2. How do you see the data gap evolving for NFTs? Our original thesis was that NFT activity was rapidly going multi-chain (i.e., not just on Ethereum), and that’s absolutely borne out over the past two years. As an example, Solana and Bitcoin Ordinals NFTs now see more volume than Ethereum. The number of EVM L2s continues to proliferate, as do other L1s - and each of these ecosystems have a constantly changing set of standards to support. NFT marketplaces continue to pop up.  Plus, as NFT media becomes more complex, the storage, compute, and real-time processing becomes even more of a challenge. Taking all of this together, this creates a significant “data gap” where most teams are better off offloading this set of problems to a trusted provider. 3. Do you believe that there are more use cases that can be seen with NFTs? Yes - some of the use cases I’m most excited by include loyalty and reward programs that are actually better than their off-chain equivalents. There’s still massive untapped potential for NFTs within games too. Because of where we fit in the stack and are generalized across all chains, we can serve any of these use cases - whether their biggest needs are metadata, history, or market prices. In terms of how SimpleHash fits in – we’ll continue to abstract away the complexity of working with this data, regardless of use case. Developers and creators building the next big on-chain game shouldn’t have to care about indexing arbitrary tokens on the chains they want to support, nor should they have to cache media, metadata, or other essential data on the NFTs themselves. By working with us, they can focus on what matters - building an awesome end-user experience. The same is true for any other conceivable use case - we’ll be there in the future as a reliable partner who can say “no matter what kind of app you’re building, if you’re using NFTs or tokens, let us do the heavy lifting on setting up your infra, while you do what you do best” – ideally they don’t even have to think about us! 4. What bespoke resources does your platform plan to provide to improve the standing of NFTs among NFT collectors? SimpleHash has a mission to help all stakeholders within the NFT and broader digital asset ecosystem. We make it super easy for developers to build sophisticated applications that help inform anything a collector might care about. For example, we have a bespoke set of endpoints to provide wallet valuation, along with those that show the top and trending collections. Getting even more granular, we offer a full set of market data streams - including all NFT sales, listings, bids and floor prices across the main marketplaces and chains. Using all these, app developers can help provide detailed insights to collectors on which of their collections are doing well, which might be up and coming, along with the details on specific holders and trading patterns. We firmly believe that more information, and easier access to tooling is crucial for future development of the space. This extends to chain ecosystems too – much of the excitement within the NFT community has come from lower cost chains, like Base (where we have a special subsidized plan program), Zora, and Solana – so supporting these chains from the get-go has been crucial for us. 5. What do you believe is the future of the NFT space in general? Digital assets (of which NFTs are just one form) will underpin a huge part of the future internet, and we intend on helping power it all. As mentioned, the most exciting future we see for NFTs include loyalty and reward programs, core primitives in games, proving provenance of content in an AI content generated world, and yes, collectibles / PFPs too. We also expect the space to democratize somewhat too, given the activity trends on lower-cost chains (Base and Solana most notably). The days of paying hundreds of dollars just to get access to a mint are over - and we’re excited to see what creators and developers do when it becomes much easier (and cheaper) to build on these networks. Conclusion As the NFT market looks to make a comeback, it’s important to focus on reliable and solid projects with proper use cases. And even though the skepticism remains, there are several projects that are looking rather interesting across the board. Non-Fungible Tokens (NFTs) took the digital world by storm in recent years, providing a novel foundation for extreme innovation in digital art, collectibles, and other assets using blockchain technology. However, after an initial frenzy of excitement and exorbitant sales, the NFT market experienced a significant slowdown. Now, signs are pointing to a potential resurgence. But what factors are necessary for NFTs to make a successful comeback? In this article, we'll delve into the key elements the NFT market needs to reignite its momentum. For NFTs to regain traction, they need to offer more than just digital bragging rights. Enhancing the utility of NFTs by enabling interoperability across different platforms and applications could unlock new use cases and value propositions. For example, NFTs could be integrated into gaming ecosystems, virtual worlds, or even financial services, allowing users to leverage their digital assets in diverse ways. Nevertheless, several industry participants have looked clearly into the market and are now working to ensure that developers in the NFT sub-genre have the resources that they need to really optimize their profitability and efficiency. Olly Wilson, CEO and co-founder of the leading NFT data aggregator, SimpleHash, contributed to our research to highlight some of the key issues that need to be tackled to start seeing scale. 1. What role do you envision SimpleHash playing in the NFT space? We abstract away all of the complexity of dealing with NFT data for developers. Instead of worrying about standards, support for different chains, integrating with multiple marketplaces, and spending time and money on NFT storage and compute, we handle it for them. Instead of worrying about infrastructure, crypto teams working with NFTs can focus on building the best end-user experience possible. 2. How do you see the data gap evolving for NFTs? Our original thesis was that NFT activity was rapidly going multi-chain (i.e., not just on Ethereum), and that’s absolutely borne out over the past two years. As an example, Solana and Bitcoin Ordinals NFTs now see more volume than Ethereum. The number of EVM L2s continues to proliferate, as do other L1s - and each of these ecosystems have a constantly changing set of standards to support. NFT marketplaces continue to pop up.  Plus, as NFT media becomes more complex, the storage, compute, and real-time processing becomes even more of a challenge. Taking all of this together, this creates a significant “data gap” where most teams are better off offloading this set of problems to a trusted provider. 3. Do you believe that there are more use cases that can be seen with NFTs? Yes - some of the use cases I’m most excited by include loyalty and reward programs that are actually better than their off-chain equivalents. There’s still massive untapped potential for NFTs within games too. Because of where we fit in the stack and are generalized across all chains, we can serve any of these use cases - whether their biggest needs are metadata, history, or market prices. In terms of how SimpleHash fits in – we’ll continue to abstract away the complexity of working with this data, regardless of use case. Developers and creators building the next big on-chain game shouldn’t have to care about indexing arbitrary tokens on the chains they want to support, nor should they have to cache media, metadata, or other essential data on the NFTs themselves. By working with us, they can focus on what matters - building an awesome end-user experience. The same is true for any other conceivable use case - we’ll be there in the future as a reliable partner who can say “no matter what kind of app you’re building, if you’re using NFTs or tokens, let us do the heavy lifting on setting up your infra, while you do what you do best” – ideally they don’t even have to think about us! 4. What bespoke resources does your platform plan to provide to improve the standing of NFTs among NFT collectors? SimpleHash has a mission to help all stakeholders within the NFT and broader digital asset ecosystem. We make it super easy for developers to build sophisticated applications that help inform anything a collector might care about. For example, we have a bespoke set of endpoints to provide wallet valuation, along with those that show the top and trending collections. Getting even more granular, we offer a full set of market data streams - including all NFT sales, listings, bids and floor prices across the main marketplaces and chains. Using all these, app developers can help provide detailed insights to collectors on which of their collections are doing well, which might be up and coming, along with the details on specific holders and trading patterns. We firmly believe that more information, and easier access to tooling is crucial for future development of the space. This extends to chain ecosystems too – much of the excitement within the NFT community has come from lower cost chains, like Base (where we have a special subsidized plan program), Zora, and Solana – so supporting these chains from the get-go has been crucial for us. 5. What do you believe is the future of the NFT space in general? Digital assets (of which NFTs are just one form) will underpin a huge part of the future internet, and we intend on helping power it all. As mentioned, the most exciting future we see for NFTs include loyalty and reward programs, core primitives in games, proving provenance of content in an AI content generated world, and yes, collectibles / PFPs too. We also expect the space to democratize somewhat too, given the activity trends on lower-cost chains (Base and Solana most notably). The days of paying hundreds of dollars just to get access to a mint are over - and we’re excited to see what creators and developers do when it becomes much easier (and cheaper) to build on these networks. Conclusion Conclusion As the NFT market looks to make a comeback, it’s important to focus on reliable and solid projects with proper use cases. And even though the skepticism remains, there are several projects that are looking rather interesting across the board.

NFTs Are Looking To Make A Comeback. What Does The Market Need?

How Optimistic Rollups Enhance Ethereum's Performance and Security

The Essential Crypto Wallet Guide for 2024: Navigating the Best in the Business In the dynamic realm of cryptocurrency, the importance of selecting the right wallet cannot be overstated. With an overwhelming array of options available, choosing a wallet—or rather, wallets—that cater to your specific needs is paramount. This guide introduces you to six indispensable wallets for 2024, each excelling in different facets of the crypto ecosystem. From securing your digital assets to optimizing your trading strategies, these wallets form the cornerstone of a well-rounded crypto toolkit. Framework for Review: Understanding Wallet Categories Before diving into our top picks, it's crucial to understand the landscape of crypto wallets. Broadly categorized into web, hardware, and multi-chain wallets, each type serves distinct purposes: Ideal for users engaging in fast-paced trading, DeFi, and other online activities requiring quick transactions. Web Wallets: Best suited for long-term storage, offering unmatched security for your cryptocurrency investments. Hardware Wallets: Cater to users who navigate across various blockchains, offering flexibility and broad asset support. Multi-Chain Wallets: Crypto Wallets to Check Out In 2024 : The Seamless, Seedless Wonder 1. Core Multi-Chain Wallet Type: Crypto investors, DeFi enthusiasts and NFT collectors Best For: Non-custodial, seedless setup, multi-chain support (including Ethereum, Avalanche, Bitcoin), and integrated portfolio tracker. Key Features: App Store Rating: Core Wallet Chrome (with Desktop, Chrome Extension, & Mobile availability) Launch Platform: Key Features: Non-custodial wallet with Ledger hardware support Sign-up via Google or Apple ID with two-factor authentication Bridge functionality across Bitcoin, Ethereum, and more Address book for blockchain contacts Fee-less transactions for sending, receiving, bridging, swapping, and buying crypto Comprehensive DeFi toolkit including built-in AVAX staking Support for 73+ Avalanche Subnets and multiple chains Technical Review User Interface and Experience sets itself apart with a simple, intuitive design that belies its powerful features. It's engineered to be 10 times faster than MetaMask, offering split-second transactions that enhance the user experience significantly. The wallet’s ease of use is evident from the seamless signup process to the fluid navigation through its diverse functionalities. Core Multi-Chain Capability and Speed One of most lauded features is its multi-chain support, facilitating a bridge between Bitcoin, Ethereum, and other blockchains directly within the wallet. This feature, combined with its rapid transaction capabilities, positions Core as a highly efficient tool for users who operate across various crypto environments. Core’s DeFi and Staking is built with DeFi enthusiasts in mind. It comes equipped with built-in AVAX staking features, offering around 8% protocol-generated yearly rewards. Additionally, the wallet provides dedicated support for Avalanche Subnets, with access to over 73 and counting, amplifying its appeal to users invested in the Avalanche ecosystem. Core Community and Ecosystem Feedback Feedback from the community and partners like Trader Joe, BENQI, HyperSpace, WooFi, YieldYak, and Dexalot underscores Core’s effectiveness and efficiency. Partners praise Core for its fast, smooth experience and its comprehensive toolkit that supports a wide range of DeFi activities including staking, swaps, and bridging. Future Outlook: Final Thoughts on Core Core represents more than just a wallet; it's a comprehensive platform that caters to the needs of modern crypto users, especially those within the Avalanche ecosystem. Its blend of speed, security, multi-chain support, and DeFi functionalities makes it an indispensable tool for anyone looking to navigate the complexities of Web3 with ease. Whether you’re staking AVAX, swapping tokens, or managing a diverse portfolio of digital assets, Core offers a streamlined and secure gateway to the world of blockchain. For users seeking a reliable, fast, and feature-rich wallet, stands out as a top contender, delivering on its promise to be a "Swiss army knife" for Avalanche users and beyond. With ongoing updates and a responsive development team, Core is poised to remain at the forefront of wallet technology, making it a wise choice for both new and experienced users in the dynamic world of cryptocurrency. Core The Expanding Multi-Chain Maven 2. Phantom: Multi-Chain Wallet Type: Users exploring beyond EVM chains Best For: Originating as a Solana wallet, now expanding to Ethereum and Bitcoin, including support for BTC20 and Ordinals. Key Features: Store Rating: Phantom App Phantom Wallet: Unveiling Bitcoin and Ordinals Support - A Technical Review Phantom wallet, a name synonymous with versatility in the cryptocurrency realm, has taken a significant leap by introducing support for Bitcoin, Ordinals, and BRC-20 tokens. This review delves into the features, usability, and innovations that Phantom brings to the table, particularly focusing on its integration of Bitcoin and Ordinals, marking a new era for users who desire a unified wallet experience across multiple blockchains. Overview Mobile, Browser Platform Compatibility: Bitcoin and Ordinals support in Beta Beta Status: Key Features: Full support for Bitcoin, Ordinals, and BRC-20 tokens Easy management of Bitcoin addresses with options for Taproot and Native SegWit Detailed transaction overviews with ETA and USD value conversions Protection for inscribed and rare sats Connected apps for browsing, buying, and listing Ordinals and BRC-20 tokens Immersive ordinals gallery and automatic spam detection Integration of Bitcoin and Ordinals Phantom's expansion to support Bitcoin and its related innovations, such as Ordinals and the BRC-20 token standard, showcases the wallet's commitment to embracing the broader crypto ecosystem. By incorporating Bitcoin, Phantom not only acknowledges the foundational role of Bitcoin in the web3 movement but also enhances its utility for users seeking a multi-chain wallet that encompasses the best of Solana, Ethereum, and Bitcoin. User Experience and Features Phantom aims to simplify the often complex world of Bitcoin and Ordinals for its users. The wallet introduces an intuitive interface for managing Bitcoin transactions, including the ability to toggle between Taproot and Native SegWit addresses, ensuring users have control over their transaction preferences and security features. The inclusion of an immersive ordinals gallery and connected apps like Magic Eden and UniSat facilitates a seamless experience for collecting and interacting with Ordinals and BRC-20 tokens. Security and Usability Enhancements With detailed transaction overviews, users gain insight into the estimated time of arrival (ETA) and balance changes for each transaction, with the added convenience of BTC to USD conversions for better context. Phantom also prioritizes the safety of unique assets like Ordinals and rare sats, implementing features to prevent their accidental expenditure. Additionally, automatic spam detection and rich Ordinals metadata further secure and enrich the user experience. Enabling Bitcoin and Ordinals Support Phantom has made enabling Bitcoin and Ordinals support straightforward, requiring users to simply toggle the Bitcoin network on in the wallet's settings. This opt-in approach respects user preferences and positions Phantom as a versatile wallet catering to diverse needs within the crypto community. Future Outlook: Final Thoughts on Phantom Wallet By offering a comprehensive platform that bridges the gap between major blockchains like Solana, Ethereum, and now Bitcoin, Phantom enhances its appeal to a wide range of crypto users, from collectors and traders to multichain enthusiasts. As the wallet progresses from its beta phase, the crypto community eagerly anticipates the full realization of Phantom's vision for a seamless, secure, and integrated digital asset experience. As Phantom continues to evolve, the wallet's roadmap includes expanding support for trusted apps and introducing Bitcoin-friendly features such as Ledger support and customizable gas fees. These forthcoming updates underscore Phantom's dedication to making cryptocurrency safe and accessible for a global audience. The Dynamic Duo 3. Trust Wallet with SWIFT: Non-Custodial Wallet Type: Navigating EVM chains with ease Best For: Smart contract wallet SWIFT integrated into Trust Wallet, support for multiple EVM chains, and innovative gas subsidies. Key Features: App Store Rating: Trust Wallet A Comprehensive Review of the Secure Multi-Chain Platform Trust Wallet: Trust Wallet has established itself as a pivotal player in the cryptocurrency wallet space, offering a wide array of features that cater to both novice and experienced users navigating the Web3 ecosystem. Launched in 2017 and trusted by over 70 million people worldwide, Trust Wallet provides a seamless and secure platform for managing a diverse range of digital assets across more than 100 blockchains. This review explores the functionalities, security measures, and user experience offered by Trust Wallet. Overview Mobile App, Browser Extension Platform Compatibility: 70M+ User Base: Independently Audited Audit Status: 10M+ assets, 600M+ NFTs across 100+ blockchains Supported Assets: Key Features Multi-Chain Support At its core, Trust Wallet is a self-custody multi-chain wallet that supports millions of assets across a spectrum of blockchains, including Bitcoin, Ethereum, Solana, Cosmos, Optimism, and many others. This extensive support ensures users can manage their cryptocurrency portfolio from a single platform, facilitating activities such as buying, selling, swapping, and earning on their digital assets. User Experience Trust Wallet emphasizes a simple and seamless user experience, offering a smooth mobile app and desktop experience with powerful tools to support users’ entire Web3 journey. Users can easily deposit crypto from exchanges like Binance and Coinbase directly into their Trust Wallet, streamlining the process of taking full control over their digital assets. Privacy and Security Privacy and security are paramount in Trust Wallet’s design. The wallet employs robust privacy measures, ensuring users remain in control of their data and digital assets without compromising on safety. Key security features include: True ownership of crypto assets, with users retaining control of their private keys and secret phrases. Encrypted Cloud Backup for enhanced wallet security. Zero personal tracking, with no collection of IP addresses or balance information. Alerts for risky transactions and dApp connections, helping users stay safe while exploring Web3. Web3 and Community Integration Trust Wallet serves as a comprehensive platform for engaging with the Web3 space, allowing users to buy, sell, swap crypto, earn rewards, manage NFTs, and discover dApps all in one place. The wallet is powered by a vibrant and diverse community, offering insights into DeFi, blockchain technology, and the importance of securing private keys. Building on Trust Trust Wallet also provides a platform for blockchain developers to build their dApps and wallets natively, connecting with millions of users without worrying about low-level implementation details. This community-centric approach fosters innovation and accessibility within the Web3 ecosystem. Future Outlook: Final Thoughts on Trust Trust Wallet stands out as a versatile and secure option for users looking to explore the vast potentials of Web3. With its multi-chain support, emphasis on security and privacy, and user-friendly interface, Trust Wallet provides a robust foundation for managing digital assets. Whether you’re a DeFi enthusiast, an NFT collector, or simply looking to secure your cryptocurrency portfolio, Trust Wallet offers a comprehensive solution tailored to meet the needs of the modern crypto user. : The Speedy Contender 4. Rabby Web Wallet Type: Advanced EVM chain users Best For: Supports up to 50 wallets without performance issues, integrated portfolio checker, and superior security features. Key Features: App Store Rating: Rabby Wallet Technical Review has emerged as a significant player in the realm of cryptocurrency wallets, particularly for users deeply entrenched in the Ethereum ecosystem and beyond. Designed to cater to a wide array of blockchains, distinguishes itself through its multi-chain capabilities, security features, and user-centric experience. This review delves into the technical aspects of Rabby Wallet, shedding light on its features, usability, and how it stands against competitors like MetaMask. Rabby Wallet Rabby Overview Chrome Extension, Desktop, Mobile (Beta) Compatibility: Key Features: Support for 141 chains including mainnets and testnets Pre-sign security checks User-friendly interface showing estimated balance changes Open source and audited by SlowMist Multiple signing modes including hardware and institutional wallets Multi-Chain Support and Usability hallmark is its smooth multi-chain experience, automatically switching to the corresponding chain based on the user's visited site. This feature not only enhances usability but also positions Rabby as a versatile wallet for users engaging with multiple blockchains. With integrated support for 141 chains, including everything from Ethereum and Arbitrum to more niche chains like Zora and zkSync Era, Rabby ensures broad accessibility and functionality for its users. Rabby's Security Security is paramount in the design of Rabby Wallet. It introduces a pre-sign check powered by Rabby's security engine, aiming to safeguard users from malicious transactions. The wallet is open-sourced and has been audited by SlowMist, providing transparency and trust in its security mechanisms. Rabby also inherits the well-proven private key management component from MetaMask, further solidifying its reliability. User Experience Rabby excels in delivering a user-friendly experience. It is the first wallet to show users their estimated balance change upon transaction completion, providing clarity and confidence in each action. Despite its focus on security, Rabby does not compromise on user experience. The wallet's interface is intuitive, making it accessible for both novices and experienced users. Additionally, Rabby is licensed under the most friendly MIT license among mainstream extension wallets, emphasizing its user-centric approach. Diverse Signing Modes Rabby supports multiple signing modes, catering to a wide range of users from casual holders to institutional investors. Hardware wallet support includes popular options like Ledger, Trezor, and BitBox02, among others. Institutional wallets such as Gnosis Safe and FireBlocks are also supported, alongside mobile wallets like MetaMask Mobile and Trust Wallet. This inclusivity ensures that users have the flexibility to secure their assets in a manner that best suits their needs. Future Outlook: Final Thoughts on Rabby Wallet Rabby Wallet stands out as a comprehensive solution for users navigating the complex landscape of multiple blockchains. Its robust security features, coupled with a user-friendly interface and extensive chain support, make it a compelling choice for a broad spectrum of crypto enthusiasts. The wallet’s open-source nature and the transparency of undergoing a security audit by SlowMist add layers of trust and reliability. Whether you're a seasoned trader looking for seamless multi-chain navigation or a newcomer seeking a secure and intuitive wallet, Rabby offers a solid foundation for engaging with the digital asset world. Building Your Crypto Wallet Arsenal Each of these wallets brings something unique to the table, addressing different aspects of the crypto experience. Whether you're trading daily on DeFi platforms, holding long-term investments, or exploring the vast landscapes of NFTs and new blockchains, integrating these tools into your crypto strategy can significantly enhance your security, efficiency, and overall success in the digital asset space. Don’t forget to like and share the story! This author is an independent contributor publishing via our brand-as-author program. Be it through direct compensation, media partnerships, or networking, the author has a vested interest in the company/ies mentioned in this story. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure:

Four Must Have Wallets in 2024 from the Plethora of Crypto Wallets Out There 

সেখানে ক্রিপ্টো ওয়ালেটের আধিক্য থেকে 2024 সালে চারটি ওয়ালেট থাকতে হবে

Vier Must-Have-Wallets im Jahr 2024 aus der Fülle an Krypto-Wallets da draußen

Cuatro carteras imprescindibles en 2024 de la gran cantidad de carteras criptográficas que existen

Quatre portefeuilles indispensables en 2024 parmi la pléthore de portefeuilles cryptographiques disponibles

2024 में ढेर सारे क्रिप्टो वॉलेट में से चार के पास वॉलेट अवश्य होने चाहिए

世の中にたくさんある暗号通貨ウォレットの中から、2024 年に必須のウォレット 4 つ

수많은 암호화폐 지갑 중 2024년 필수 지갑 4가지

Quatro carteiras obrigatórias em 2024 dentre a infinidade de carteiras criptografadas que existem

Четыре кошелька, которые обязательно нужно иметь в 2024 году из множества существующих криптокошельков

Piyasadaki Çok Sayıda Kripto Cüzdanından 2024 Yılında Sahip Olunması Gereken Dört Cüzdan

Bốn loại ví phải có vào năm 2024 từ vô số ví tiền điện tử ngoài kia

众多加密钱包中，2024 年必备的四款钱包

ZORA

zora.co

-- employees

Since n.d.

COMPANY RANKING

ZORA

EVERGREEN INDEX #12025

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Zora WIKI

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ZORA

zora.co

-- employees

Since n.d.

COMPANY RANKING

ZORA

EVERGREEN INDEX #12025

RELATED COMPANIESRANK

STORIES ABOUT ZORA

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