Confidently iterate on GenAI applications with Evaluations

Developers building with LLMs need to continuously evaluate the performance of their models in order to constantly iterate and deliver robust performance in production. 

Use Evaluations to easily organize and compare any performance metric of your application. Measure and validate the accuracy of models across a wide variety of scenarios. Build rigor with systematic evaluations to score different aspects of your non-deterministic GenAI applications and deploy with confidence. 

Score your GenAI applications in a lightweight, customizable way

Built with the developer experience in mind, Evaluations allows for easy logging and comparison of LLM performance. Use our scorers, or define your own Evaluations score to create functions as complex or as simple as you need for your use case in evaluating different dimensions of your application performance.

Move beyond "vibe checks"

Build out automatic evaluations so you can reliably iterate. Drill into difficult examples, see what data was used for each intermediate input, and root cause exactly where the issue lies. 

Build rigor with a systematic and organized evaluation framework

Empower your team with the confidence needed to deploy GenAI applications by tracking and managing all essential elements in one unified location. Scale up your evaluations so you can confidently experiment with the latest model, prompt or technique. 

The Weights & Biases platform helps you streamline your workflow from end to end



Track and visualize your ML experiments


Optimize your hyperparameters

Model Registry

Register and manage your ML models


Trigger workflows automatically


Package and run your ML workflow jobs



Explore and
debug LLMs


Rigorous evaluations of GenAI applications



Version and manage your ML pipelines


Visualize and explore your ML data


Document and share your ML insights