Tag: LLM self-correction

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Jun, 5 2026

Critique-and-Revise Prompting: How to Build Iterative Refinement Loops for Better AI Output

Learn how critique-and-revise prompting transforms AI output quality. Discover iterative refinement loops, the PerFine framework, and practical steps to implement self-correcting LLM workflows.

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May, 28 2026

Meta-Reasoning in LLMs: How AI Self-Corrects and Optimizes Outputs

Discover how meta-reasoning enables LLMs to self-correct and optimize outputs. Learn about MRP, performance gains, and implementation strategies for 2026.

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Jan, 27 2026

Error Messages and Feedback Prompts That Help LLMs Self-Correct

Learn how to use feedback prompts to help LLMs self-correct their own errors - when it works, when it fails, and how to implement it without falling into overconfidence traps.