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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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The Kingfisher - Bitcoin & Crypto liquidations signals and analytics

@thekingfisher_btc · Post #4344 · 03/03/2026, 10:27 AM

#GEX🐟 From: @thekingfisher_liqmap_bot $ETH GEX+ showing positive numbers right now Increased volatility would certainly lead to more negative numbers, leading to further volatility Hawkes process when you got us… For now, tempered volaility, keep an eye on the gex+ 🔥️️️️

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