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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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@DanielPrinzOffiziell · Post #9795 · 11/24/2025, 04:05 PM

‼️Der Mond ist nicht das, was man Ihnen erzählt‼️ Der NASA-Wissenschaftler Gordon MacDonald sagte: "Es scheint, als wäre der Mond eher hohl als eine homogene Kugel." Quelle: David Icke Findest du diese Info wichtig? Dann abonniere unseren Kanal! 👉@LegitimNews #Mond#Wissenschaft#HohleKugel#Planet#Raumschiff