New Features:

Added support for Multimodal CV evals with metrics + visualizing inferences in the Arthur Platform.
Users can now optionally configure attributes to segment over when defining metrics.
Engine Installation flow now supports non docker installation methods.
Support for consuming OTEL traces emitted from LLM + Agentic Applications.
Support for segmenting metrics on values (inc. model version id, prompt version id, etc.)
Support for experiment tracking in the Arthur Dashboard. Now offers the ability to segment metrics (eg: by prompt-version, model-version).
New navigation bar to improve usability and discoverability of platform functionality.
Support for non-docker installation methods for the Arthur Engine.

Enhancements:

Made significant performance improvements to the PII detection model, resulting in fewer false positives.
The inference deep dive table now returns up to 50 rows per page.
Improved hallucination detection for numbered lists and other structured formats.
Introduced configurable max-token limit for hallucination checks, helping users fine-tune thresholds for context.
Metrics task ID now exposed in the GenAI model UX
Filters UI fixes for Inference Deep Dive.