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This guide helps beginners set up and use open-source large language models (LLMs) on Linux or cloud platforms like AutoDL, with step-by-step instructions for environment setup, model deployment, and fine-tuning for models such as LLaMA, ChatGLM, and InternLM[2][4][5]. It covers everything from basic installation to advanced techniques like LoRA and distributed fine-tuning, and supports integration with tools like LangChain and online demo deployment. The main benefit is making powerful AI models accessible and easy to use for students, researchers, and anyone interested in experimenting with or customizing LLMs for their own projects[2][4][5].
https://github.com/datawhalechina/self-llm
🌍 The boundary where the Earth's solid land meets the sea—called the coastline—is constantly changing. Waves, tides, and storms reshape these edges every day, making coastlines dynamic and ever-shifting. ✨
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🌍 Satellite data show that global sea levels are now rising about 3.4 millimeters per year, speeding up since the 1990s and threatening low-lying coasts with accelerated erosion. ✨
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🌍 Melting permafrost in Arctic regions is releasing ancient greenhouse gases like methane, accelerating climate change and threatening traditional ways of life for local communities. ✨
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🌍 Desertification, the spread of deserts into once-fertile land, now threatens over a third of Earth’s land surface, endangering food security for millions worldwide. ✨
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New Book Explores Optimism in AI Future
Reid Hoffman, co-founder of LinkedIn, releases his book *Superagency: what could go right with AI future*. Unlike dystopian views, Hoffman emphasizes a proactive approach to building a positive future with AI. He discusses the evolution of technology's role in society, the importance of agency in the face of AI, and the need for updates in social contracts. The book reflects on history, addressing both fears and potential benefits AI can bring. Full details available here.
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Need of Organization 😂
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