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Source channel @githubtrending · Post #14909 · Jul 3

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#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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🦅 [ perspective ix ]

@perspectiveix · Post #1510 · 08/31/2018, 08:00 AM

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​​📺Facebook Watch A year after launching #FacebookWatch in the United States 🇺🇸, #Facebook announced that it’s making the video-on-demand platform available everywhere. Although the global rollout is a logical next step, a recent study suggests that the service hasn’t really made an impact in the U.S. yet. According to a survey conducted by The Diffusion Group, nearly 3 in 4 adult Facebook users in 🇺🇸 haven’t used the service yet. More importantly though, 50% of the respondents have never even heard of Facebook Watch despite its presence on the social network’s navigation bar. 🚀@PerspectiveIX via Statista. ❓ Are you a Facebook Watch user?

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