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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 #64959 · 04/10/2026, 12:23 PM

🚀 BitFuFu Reports March Bitcoin Production Figures Bitcoin mining company BitFuFu has released its operational data for March. According to Foresight News, the company produced a total of 214 BTC during the month, with 171 BTC mined through cloud computing and 43 BTC mined using its own computing power. This marks a decrease from February's production of 227 BTC. In March, BitFuFu sold 80 BTC, and as of March 31, the company held 1,794 BTC. #Bitcoin#BitFuFu#CryptoMining#BTC#CloudMining#MiningReport#Cryptocurrency#Blockchain