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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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TONlines – News

@tonlines · Post #6720 · 04/11/2025, 02:52 PM

Fanton EN: NFT Transfer Completion and Rule Violations #NFT#ComBot The Fanton EN channel has completed a mass NFT transfer, including distributions for auctions, tier upgrades, and the ComBot event. However, some participants broke the rules, leading to disqualifications. Participants who did not receive their NFTs should contact Fanton Support. Source: link @tonlines

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@botsgram_cu · Post #3438 · 01/26/2021, 03:28 PM

@BanInfoRobot Qué puede hacer este bot? Comprueba si estás prohibido en los populares servicios Anti-Spam de Telegram como SpamWatch, CAS, etc Idioma: Inglés (visto en @BotsGram_cu) #ban, #userinfo, #spamwatch, #cas, #combot, #spam, #antispam, #spamprotection, #spb, #antispaminc, #check, #api, #scam, #spammer