datawhalechina/hello-agents vs HandsOnLLM/Hands-On-Large-Language-Models
Compare datawhalechina/hello-agents and HandsOnLLM/Hands-On-Large-Language-Models using the current verified snapshot: positioning, license, deployment, use cases, limitations, and original sources.
datawhalechina/hello-agents
A theory-and-practice tutorial for building AI Native Agents from scratch, covering classic paradigms, multi-agent applications, and agentic reinforcement learning. The primary content is authored in Chinese and covers integrations with several low-code platforms and frameworks.
- License
- License pending
- Deployment
- Refer to project documentation
- Use cases
- Knowledge Q&A · Automation · Learning & Education
- Updated
- 2026-07-17T05:46:20Z
HandsOnLLM/Hands-On-Large-Language-Models
A tutorial repository providing runnable Jupyter notebooks that accompany the book 'Hands-On Large Language Models', spanning introductory LLM concepts to advanced topics like semantic search, multimodal models, and fine-tuning. It is an educational collection of examples, not a production-ready application.
- License
- Apache-2.0
- Deployment
- Refer to project documentation
- Use cases
- Learning & Education
- Updated
- —
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