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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 #64902 · 04/10/2026, 08:17 AM

🚀 TON Declines Over 24% Year-to-Date Despite Wallet Accumulation and Network Upgrade TON has experienced a decline of over 24% since the beginning of the year. According to NS3.AI, despite this downturn, the top 100 wallets have accumulated an additional 189,730 TON in the past three months. This week, TON implemented the Catchain 2.0 upgrade, which has reduced confirmation times to less than one second for Telegram mini-apps, payments, and high-frequency activities. The network's seven-phase roadmap includes plans for future fee reductions. #TON#cryptocurrency#blockchain#wallets#networkupgrade#Catchain2#Telegram#cryptoaccumulation#feereduction#highfrequencytransactions