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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 #65270 · 04/12/2026, 01:09 PM

🚀 StarkWare Researcher Proposes Complex Bitcoin Transaction Scheme StarkWare researcher Avihu Mordechai Levy has introduced a Bitcoin transaction scheme that aims to circumvent the need for a protocol change. According to NS3.AI, the proposed method involves solving a pre-broadcast puzzle, which would necessitate approximately 70 trillion attempts. Levy characterized this design as a last-resort solution due to its significant computational demands, large transaction size, and potential relay-policy challenges, all of which could hinder scalability. #StarkWare#Bitcoin#transaction#AvihuMordechaiLevy#protocol#computationaldemands#scalability#relaypolicy#BTC