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Source channel @githubtrending · Post #14656 · May 1

#cmake The SO-101 robotic arm improves upon the SO-100 with easier assembly, better motors, and redesigned wiring, working seamlessly with the open-source LeRobot library for AI development. You can build it yourself using 3D-printed parts and off-the-shelf components or buy pre-assembled kits, offering an affordable way to experiment with AI-driven robotics through hands-on learning and community collaboration. https://github.com/TheRobotStudio/SO-ARM100

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@githubtrending · Post #14815 · 06/10/2025, 11:30 AM

#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