Relari
Relari is an open-source framework for evaluating GenAI systems, with a focus on synthetic data generation. You can use Relari to build stronger, more reliable AI systems with targeted synthetic datasets.
Product Highlights
- Open-Source Metric Library: Relari provides a wide range of open-source metrics and evaluators.
- Synthetic Data Generation: You can use Relari to generate large-scale synthetic datasets to stress test your AI systems.
- Close-to-human Evaluators: You can train custom ensemble evaluators leveraging user feedback data.
Use Cases
- Test AI Systems: You can use Relari to test your AI systems using synthetic datasets.
- Systematic Fine-Tuning: You can use Relari to take control of the fine-tuning process leveraging synthetic data and comprehensive metrics.
- From Prototype to Production: Relari can be used to integrate GenAI evaluation throughout the application development lifecycle.
Target Audience
Relari is targeted at developers and organizations working in the field of developing and deploying AI systems.
