Self-Evaluation in AI Agents: Can They Judge Their Own Outputs?


 Self-evaluation lets agents check their own work before presenting it. This involves:

  • Generating confidence scores

  • Comparing multiple candidate outputs

  • Using critique prompts or verifier models

Self-checking improves reliability in coding, summarization, and reasoning tasks. Learn more on the AI agents page.

Train agents to produce multiple answers, then vote or rank based on internal logic or consistency.

#SelfEvaluation #ReflexionAI #AgentCritique #OutputValidation #AIagents

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