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Source channel @githubtrending · Post #14909 · Jul 3

#other#agent#llm#rag Happy-LLM is a free, open-source learning project that helps you deeply understand large language models (LLMs) from basics to advanced training and applications. It teaches you key concepts like NLP, Transformer architecture, pretraining, and how to build and train your own LLaMA2 model step-by-step. You also learn practical skills like fine-tuning and using cutting-edge techniques such as Retrieval-Augmented Generation (RAG) and intelligent agents. This project is ideal if you know some Python and deep learning, and it offers both theory and hands-on code to help you master LLM development and apply it in real-world AI tasks. This can boost your skills and confidence in AI model building and research. https://github.com/datawhalechina/happy-llm

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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