Teach Your Agents What You Know
4 months ago
- #Knowledge Transfer
- #AI Agents
- #Teaching Systems
- Vertical AI agents struggle with tacit domain knowledge transfer.
- Existing approaches include prompt engineering and information retrieval, each with limitations.
- Proposes a teaching-based approach where human experts interactively teach agents.
- Introduces Socratic, an open-source prototype for iterative agent teaching.
- Teaching is interactive and iterative, improving the agent's knowledge base over time.
- Socratic supports both teacher-initiated and student-initiated learning processes.
- Highlights the importance of agents asking high-quality questions for effective knowledge transfer.
- Vision includes 'agent education' as a skill and improving agent performance through teaching.
- Contrasts with automatic memory systems, emphasizing human control in knowledge transfer.
- Part 2 will evaluate Socratic's effectiveness in optimizing an airline customer service agent.