Essays, AI paper notes, and learning notes.
这里记录我对 AI、Agent、RAG、多模态系统、工程实践与长期学习的思考。内容包括论文解读、技术笔记、学习笔记和个人博客。
How to Evaluate an AI Agent Beyond Accuracy
A practical note on why production agents need evaluation beyond simple answer accuracy.
Learning Note: Agent Memory Is Not Just More Context
A short learning note about why agent memory should be selective, structured, and useful for future decisions.
Reading Template: Memory-augmented Agents
A reusable structure for reading papers about memory, retrieval, and long-horizon agents.
- Good memory is selective, not just large.
- Retrieval quality matters more than storing everything.
- Long-horizon agents need evaluation over trajectories, not only final answers.
Why I Built This Personal Site
This site is designed as a public evidence layer behind my CV.