
What is Atla?
Atla provides frontier AI evaluation models to evaluate generative AI, find and fix AI mistakes at scale, and build more reliable GenAI applications. It offers an LLM-as-a-Judge to test and evaluate prompts and model versions. Atla’s Selene models provide precise judgments on AI app performance, running evals with accurate LLM Judges. They offer solutions optimized for speed and industry-leading accuracy, customizable to specific use cases with accurate scores and actionable critiques.
How to use Atla?
Use Atla’s Selene eval API to evaluate outputs and test prompts and models. Integrate the API into existing workflows to generate accurate eval scores with actionable critiques. Customize evals with few-shots in the Eval Copilot (beta).
Atla’s Core Features
LLM-as-a-Judge for evaluating AI models Selene models for precise AI evaluation Eval Copilot for customizing evaluation criteria API access for integration into existing workflows Actionable critiques and accurate scores
Atla’s Use Cases
- Evaluating prompts and model versions
- Building trust with customers in generative AI app reliability
- Monitoring model outputs at production scale
- Custom eval metric deployment using Eval Copilot (beta)
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