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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 #64697 · 04/09/2026, 02:44 PM

🚀 Telegram's TON Blockchain Achieves Significant Speed Upgrade Telegram founder Pavel Durov announced a major upgrade to the TON blockchain, significantly enhancing its processing speed. According to Foresight News, the upgrade has increased block generation rates by six times and achieved sub-second transaction confirmations. Durov stated that this is the first of seven steps in his 'Make TON Great Again' (MTONGA) plan. The next step aims to reduce the already relatively low transaction fees by approximately six times to further improve network performance and cost competitiveness. #Telegram#TONBlockchain#PavelDurov#SpeedUpgrade#Blockchain#TransactionSpeed#MTONGA#ForesightNews#SubSecondConfirmations#TransactionFees#NetworkPerformance