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Source channel @githubtrending · Post #14926 · Jul 8

#jupyter_notebook#artificial_intelligence#book#large_language_models#llm#llms#oreilly#oreilly_books You can learn how to use Large Language Models (LLMs) effectively through the book *Hands-On Large Language Models* by Jay Alammar and Maarten Grootendorst. This book uses nearly 300 custom illustrations to explain key concepts and practical tools for working with LLMs, including tokenization, transformers, prompt engineering, fine-tuning, and advanced text generation. It also provides runnable code examples in Google Colab, making it easy to practice and apply what you learn. This resource helps you understand and build your own LLM applications confidently, saving you time and effort in mastering complex AI technology. It’s highly recommended for anyone wanting hands-on experience with LLMs. https://github.com/HandsOnLLM/Hands-On-Large-Language-Models

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Crypto M - Crypto News

@CryptoM · Post #65079 · 04/10/2026, 08:28 PM

🚀 Stablecoin Reward Negotiations Intensify Ahead of Senate Vote Negotiations over stablecoin rewards are gaining momentum as lawmakers prepare to reconvene next week. According to NS3.AI, the Senate Banking Committee is set to vote on a comprehensive crypto market structure bill by the end of the month. A recent report from White House economists suggests that stablecoin rewards are unlikely to significantly impact bank lending or broader credit conditions. However, banking advocates are pushing for stricter language on yield prohibitions, while crypto firms argue that such limits could stifle innovation. #Stablecoin#Crypto#SenateVote#Banking#CryptoRegulation#FinancialInnovation#YieldLimits#CreditConditions