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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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@kejiqu · Post #3946 · 12/10/2025, 08:27 AM

AI 智能体开源基金会成立:OpenAI、谷歌、亚马逊 AWS 等巨头加入,目标打破新时代垄断 为应对AI智能体发展可能出现的不兼容和封闭生态,Linux基金会启动“Agentic AI Foundation”(AAIF)。该组织旨在推动AI智能体相关开源项目的中立发展,初期获得Anthropic、Block和OpenAI的捐赠支持。Anthropic贡献了模型上下文协议MCP,Block贡献了Goose框架,OpenAI贡献了AGENTS.md。亚马逊AWS、彭博社、Cloudflare和谷歌等也已加入AAIF。AAIF通过“定向基金”模式筹集资金,技术路线图由技术指导委员会决定,以避免少数平台垄断AI智能体基础设施,确保不同系统间的协作。IT之家 🏷#Agentic#AI#Foundation#AI#智能体#开源 📢频道👥群组📝投稿