Teams deploying LLM features are grappling with how to handle prompt and response logging, a critical aspect of debugging and improving model performance. Storing full text data, with redaction and limited retention, strikes a balance between enabling observability and mitigating privacy risks like sensitive information disclosure and GDPR compliance. Observability tools are emerging to simplify trace analysis, but organizations must still establish clear policies for data masking, retention periods, and access controls.
Read the full article at DEV Community
Want to create content about this topic? Use Nemati AI tools to generate articles, social posts, and more.



