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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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@storage_qi · Post #764 · 02/07/2024, 05:45 PM

#Clash#ClashMeta#WebUI#metacubexd#Yacd GH 页面自定义域:http://d.metacubex.one GH 页面:https://metacubex.github.io/metacubexd Cloudflare 页面:https://metacubexd.pages.dev 省流(个人认为体验优于Yacd): - 在Connections的功能相当丰富,功能体验最优(无法全部显示时,Shift+滚轮 可以横向滚动) - Proxies界面节点延迟可视化显示 - 还有一些其他Web UI所没有的功能 来源(ClashMeta官方支持)