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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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@sudo_recast · Post #104 · 04/25/2022, 12:16 PM

GitLab-specific references https://docs.gitlab.com/ee/user/markdown.html#gitlab-specific-references #mark

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Parallel Experiments

@LinghaoCh · Post #755 · 04/10/2022, 02:07 AM

https://store.steampowered.com/app/900270/Reventure/ 令人惊喜的小游戏,核心玩法是在一个剧情老套的像素风 RPG 里找到 100 种不同的结局。 #mark#game

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