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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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Venture Village Wall 🦄

@venturevillagewall · Post #4221 · 02/23/2025, 04:00 AM

Ethereum Rollback Not Feasible, Developer Warns Ethereum developer Tim Beiko cautions against rolling back the Bybit attack, citing potential widespread disruptions and significant costs exceeding $1.5 billion. This attack does not breach Ethereum protocol rules unlike the 2016 TheDAO incident. Additionally, a Bybit address transferred $48 million to Galaxy Digital and FalconX, acquiring 34,800 ETH shortly before depositing it back into Bybit. Read more: Ethereum rollback debate and Bybit address transactions #Ethereum#Bybit#Crypto#Blockchain#DeFi#News#Investment#ETH#GalaxyDigital#FalconX#TimBeiko#CZ#KanyeWest#Polychain#OTC#Transaction#Security#Protocol#Rollback#Market#Analysis