Category:
Category:
Verification Layers
Category:
Evaluation & Quality
Definition
Systems that verify the correctness of LLM or agent outputs before final delivery.
Explanation
Verification layers check whether an LLM’s output is factual, consistent, complete, safe, and aligned with enterprise policies. They can use rule-based validators, secondary LLMs, retrieval-backed fact-checking, or structured consistency checks. Verification is essential for reducing hallucinations and ensuring enterprise reliability.
Technical Architecture
LLM Output → Verification Engine → (Accept / Revise / Reject) → Final Output
Core Component
Fact-checker, rule engine, validation prompts, cross-model checking
Use Cases
Legal QA, medical summarization, analytics, enterprise copilots
Pitfalls
Overly strict validators block valid answers; weak validators miss errors.
LLM Keywords
LLM Verification, Answer Checking, LLM Validators
Related Concepts
Related Frameworks
• Hallucination Mitigation
• Fact Checking
• RAG
• Verification Pipeline Architecture