Deepchecks

Deepchecks is a powerful tool for evaluating LLM-based apps. It allows for quick iteration while maintaining control, enabling the release of high-quality LLM apps without being hindered by the complexity and subjectivity of LLM interactions. For those working on LLM apps, it's crucial to address numerous constraints and edge cases before release. Deepchecks systematically detects and mitigates issues such as hallucinations, incorrect answers, bias, deviation from policy, and harmful content. It also offers a solution for automating the evaluation process with 'estimated annotations', reducing the need for extensive manual labor. Additionally, Deepchecks is based on a leading ML open source testing package, widely tested and robust. It is used by many companies and integrated into numerous open source projects. Deepchecks is also a founding member of LLMOps.Space, a global community for LLM practitioners. Overall, Deepchecks provides a comprehensive and efficient solution for LLM evaluation.