aws-samples/sample-prompt-correction-memory

Self-improving LLM document extraction on AWS. Each human QA correction improves future extractions via few-shot self-healing and deterministic rule graduation — no retraining, no redeployment. Costs decrease over time.

GitHub repository with 6 stars and 2 forks.

Language: Python

Topics: aws, bedrock, correction-memory, document-processing, few-shot-learning, field-extraction, idp, llm, prompt-engineering, self-healing

Open provider repository

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Trending score 0.08, freshness score 0.58, stars gained +0, forks gained +0.

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2026-11-15: 6 stars and 2 forks.

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