2024-07-11
🔗Learning
Today I read StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows. This paper talks about using state machines to explicitly model the problem that an agent is trying to solve. They got great results, and I agree that it's a good way to go about solving a problem, but I'm not sure what's really new here. Maybe it's just my background, but using state machines to direct the high-level behavior of your agent feels like a very obvious thing to do, and a lot of people in the LLM space have been talking about it for a while now.