Optimizing Enterprise Efficiency: The Power of Performance Monitoring for LLM Apps Unveiled

Filter and identify the worst-performing clusters of text output, tracking the movement of similar clusters over time.

Flexible aggregation intervals to control the granularity of detailed trend analysis.

Compare multiple performance metrics simultaneously within a single view, enhancing model evaluation efficiency.

Compare diverse performance matrices to make informed decisions regarding model enhancements or algorithm selection.

Dynamic configuration to view a variety of performance metrics, ensuring tailored analysis according to specific requirements.

Selective operations such as Mean, Median, and Maximum facilitate further analysis, enabling deeper insights into model behavior.

Create and store plots for ongoing performance monitoring, enhancing collaboration, and knowledge sharing within the organization.

Access control to enable designated users to create, delete, or modify plots.