Category:

Entropy-based Uncertainty Detection

Category:

AI Reliability

Definition

Detecting uncertain or unstable LLM outputs using entropy measures.

Explanation

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.

Technical Architecture

Token Probabilities → Entropy Calculator → Decision Engine → (Accept / Verify / Escalate)

Core Component

Entropy meter, scoring thresholds, routing logic

Use Cases

Risk-sensitive workflows, legal QA, medical summarization

Pitfalls

Entropy does not always correlate with correctness

LLM Keywords

Related Concepts

Related Frameworks

• Confidence Scoring
• Verification Layers
• Model Routing

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