hallucination-detection-binary-logic

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DataAlchmesit / MiniEval-pro

A faithfulness gate for AI memory systems. Checks every fact against its source before storage: blocking hallucinations, catching attribution errors, and preventing false overwrites. Runs fully local, no API keys. 97.5% hallucination catch rate on an 80-case test set.

python machine-learning ai audit-log ai-safety nli trustworthy-ai llm open-sorce memory-system agent-memory hallucination-guard hallucination-detection-binary-logic

Updated Oct 19, 2026
Python

GurutejaReddy-04 / ragpatrol

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RAG evaluation framework. Measures retrieval precision/recall/F1, checks answer faithfulness via embeddings and LLM judge, profiles latency, and compares configs. Runs in CI.

python3 regression-testing ci-cd-pipeline gemini-api observability-data llm-evaluation-framework rag-pipeline retrieval-augmented-generation-rag faithfulness-metrics hallucination-detection-binary-logic llm-judges latency-benchmarking quality-gating

Updated Oct 18, 2026
Python

vishwanathakuthota / AI-Model-Validation

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A 20-episode scientific guide to AI model validation, LLM evaluation, hallucination detection, reliability, robustness, statistical uncertainty, and AI assurance. Includes Python notebooks, datasets, and reproducible experiments.