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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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AIGC

@aigcrubbish · Post #201 · 02/18/2026, 05:48 PM

[$] More accurate congestion notification for TCP 更准确的 TCP 拥塞通知机制 AccECN 即将在 Linux 内核 7.0 版本中默认启用。这一机制改进了 TCP 协议中显式拥塞通知(ECN)的精度,有望提升公共和私有网络中的流量传输效率。 AccECN 通过更精细地反馈网络拥塞状况,帮助 TCP 连接更及时地调整数据传输速率,从而减少延迟和丢包。该功能已在过去几个内核版本中逐步引入,7.0 版本将默认开启以供广泛使用。 原文链接:https://lwn.net/Articles/1058666/ #网络协议#Linux内核#TCP#ECN #AIGC Read more