A developer building a meeting assistant faced challenges with real-time production evaluations due to strict EU data residency rules. Standard online evaluation methods, which require access to inputs and outputs, were incompatible with the need to mask sensitive personal data. The developer devised a solution by implementing a transformation function for telemetry, emitting only derived, safe projections of the data rather than raw inputs or outputs. This approach allows for qualitative checks like grounding and hallucination detection without violating data privacy regulations. AI
IMPACT New methods for LLM evaluation are emerging to address data privacy and residency constraints in production environments.
RANK_REASON Developer describes a technical solution to an infrastructure problem related to LLM evaluation under data residency constraints.
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