Openlayer also provides solutions for specific scenarios, such as hallucination tests for Language Model (LLM) outputs, and a two-step solution for managing fraud prediction models. The platform aims to condense and simplify AI evaluation, addressing long-standing ML problems and new challenges presented by Generative AI and foundation models. Openlayer is seeking feedback from the Hacker News community on building trust into AI systems.
Key takeaways:
- Openlayer is an observability platform for AI, offering comprehensive testing tools to check the quality of input data and the performance of model outputs.
- The platform supports seamless switching between development mode and monitoring mode, allowing for continuous testing and monitoring of AI models in production.
- Openlayer helps to identify and address specific issues in AI models, such as false negatives in fraud prediction models, through targeted tests and debugging tools.
- Openlayer aims to simplify AI evaluation by condensing and addressing long-standing ML problems and new challenges presented by Generative AI and foundation models in a single, consistent way.