Entropy-based Uncertainty Detection

Detecting uncertain or unstable LLM outputs using entropy measures.

Entropy measures the dispersion in token probability distributions. High entropy means the LLM is uncertain. Enterprises use entropy-based systems to redirect outputs to verification layers, trigger retrieval, escalate to larger models, or block unsafe responses.