Comment by thwarted
3 years ago
On top of that, what's the method to keep "errors" from compounding? It also seems like the capabilities of the trained model would approach an asymptote that is the limit of the training model, and never pass it.
3 years ago
On top of that, what's the method to keep "errors" from compounding? It also seems like the capabilities of the trained model would approach an asymptote that is the limit of the training model, and never pass it.
You loop the LLM with code execution, or a simulator, or a game environment. And use feedback to learn.