A data-driven LLM-based experimental evaluation system
Langfuse's built-in dataset management system supports the creation of structured test sets (e.g., QA Q&A pairs) and seamlessly integrates with tracking systems. Developers can upload test data in CSV format (with Input/Expected fields), run test cases in batches through automation scripts, and store the output results in correlation with expected values.
The platform adopts the trace-link mechanism in its technical implementation, which allows specific test cases to be associated with corresponding model call records (traces), and the performance comparison curves of different models or hint versions are visualized in the UI interface. This data-driven verification method can provide statistically significant evaluation conclusions compared to traditional ad-hoc testing.
This answer comes from the articleLangfuse: an open source LLM application observation and debugging platformThe
