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