The Stepwise Informativeness Assumption: Why are Entropy Dynamics and Reasoning Correlated in LLMs?

Create an observability tool that tracks entropy dynamics during inference to predict model confidence in reasoning tasks. This can be used to trigger self-correction loops when entropy spikes indicate an impending hallucination.

Suggested repo: EntropyTrace

"Peering into the model's head to catch logical errors before they happen."

Estimated effort: 30h