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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 #64629 · 04/09/2026, 12:04 PM

🚀 Tokenized Perpetual Swaps Reach $30.7 Billion in Weekly Volume Tokenized perpetual swaps linked to traditional assets have seen significant growth, reaching a weekly volume of $30.7 billion by the end of March, according to NS3.AI. This figure represents 1.72% of the total crypto derivatives market. The surge was primarily driven by commodities, with total weekly volume across these contracts peaking at $54.5 billion during the metals rally in February. #TokenizedSwaps#PerpetualSwaps#CryptoDerivatives#Commodities#MetalsRally#CryptoTrading#NS3AI#WeeklyVolume#FinancialMarkets#DigitalAssets