Part 7/12:
Using feedback mechanisms, including human-in-the-loop supervision, to refine outputs.
Balancing multiple agents’ cooperation without causing noise or contradictory signals—an issue he analogizes to human communication dynamics.
A vital insight involves managing noise from multiple agents, recognizing that more isn’t always better. Strategically assigning specialized roles (e.g., code writer vs. safety reviewer) and maintaining clear boundaries between agents enhances accuracy and reliability.
Challenges and Open Research Questions
Despite impressive progress, Chi acknowledges several unresolved challenges:
- Decomposition and validation: How to effectively break down complex goals and validate intermediate results, especially as tasks scale.