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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 #65242 · 04/12/2026, 08:25 AM

🚀 Former Bank of China VP Comments on U.S. Crypto Regulation Approach Former Bank of China Vice President Wang Yongli has expressed that the United States' method of classifying and regulating crypto assets warrants examination. According to NS3.AI, Wang Yongli noted that the CLARITY Act guidance document represents a notable advancement. However, he emphasized that nations should tailor their crypto asset regulations to align with their specific circumstances. #BankOfChina#CryptoRegulation#USCrypto#CLARITYAct#WangYongli#CryptoPolicy#FinancialRegulation#Blockchain