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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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@CryptoM · Post #64482 · 04/09/2026, 02:25 AM

🚀 Significant Bet Placed on Thunder in NBA Regular Season Matchup Against Clippers A notable prediction event on Polymarket involves a user with a win rate exceeding 58% who has invested $270,000 on the Oklahoma City Thunder defeating the Los Angeles Clippers. According to Odaily, the average opening price for this bet was 76.2¢. The NBA regular season game between the Thunder and the Clippers commenced today at 10 a.m. UTC+8. As the game progresses into the first quarter, the Thunder hold a record of 63 wins and 16 losses, placing them first in the Western Conference. Meanwhile, the Clippers are ranked eighth with a record of 41 wins and 38 losses. #NBA#Thunder#Clippers#Polymarket#Betting#OklahomaCityThunder#LosAngelesClippers#WesternConference#Basketball#NBASeason