#jupyter_notebook#chatglm#chatglm3#gemma_2b_it#glm_4#internlm2#llama3#llm#lora#minicpm#q_wen#qwen#qwen1_5#qwen2
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
#mdx
This free interactive course teaches Product Managers to use Claude Code for daily tasks like processing notes, writing PRDs, analyzing data, and strategy planning through hands-on modules (4-6 hours). Clone the repo, run `claude`, and follow guided lessons with agents and file tools—no setup needed yet. You'll work faster, get instant multi-perspective feedback, and boost productivity without quality loss.
https://github.com/carlvellotti/claude-code-pm-course
#MDX result
1 and 2 target achieved in just 1 house 21 minutes ✅
One more huge quick profit 11%🤑💰🤑
👉 Still thinking? The more you wait more you lose profit
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#MDX bounced back from the Trendline on 6H Time frame,we expect a good bullish momentum from the Green zone,send it to the moon 🚀
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