Show HN: Valohai LLM – Track and compare LLM evaluation results in one dashboard (valohai.com)

Valohai has launched Valohai LLM, a SaaS platform designed for efficient tracking and comparison of Large Language Model (LLM) evaluations. This tool addresses a common challenge in ML workflows where evaluation results become scattered across notebooks, spreadsheets, and communication platforms, making it difficult to ascertain the best-performing models or configurations. With Valohai LLM, users can streamline this process by using a straightforward Python library to run evaluations in their environments, with results displayed in a single, accessible dashboard that supports filtering and visual comparisons. This development is significant for the AI/ML community as it simplifies the evaluation workflow, allowing teams to make data-driven decisions swiftly without the need for extensive infrastructure or complex scripting. Users can run multiple evaluations simultaneously, capturing a wide array of metrics and configurations, and view results in real time. The platform's capabilities for grouping and visualizing data—such as radar charts and scorecards—further enhance its utility, helping teams quickly identify the strengths and weaknesses of different models. Overall, Valohai LLM not only boosts efficiency in LLM evaluation but also offers a collaborative workspace for data transparency, crucial for advancing AI model development.