LatentAudit: Real-Time White-Box Faithfulness Monitoring for Retrieval-Augmented Generation with Verifiable Deployment

1. 1Implement LatentAudit in a retrieval-augmented generation pipeline
2. 2Measure mid-to-late residual-stream activations from an open-weight generator
3. 3Calculate Mahalanobis distance to the evidence representation
4. 4Use the quadratic rule to determine faithfulness

AI engineers and researchers benefit from LatentAudit as it helps ensure the reliability of retrieval-augmented generation models, while product managers can use it to improve model transparency and trustworthiness

💡 LatentAudit enables real-time monitoring of retrieval-augmented generation faithfulness using a white-box auditing approach

🚀 Introducing LatentAudit: real-time white-box faithfulness monitoring for retrieval-augmented generation! 🤖