What is DeepChecks?
Deepchecks is your go-to solution for evaluating and monitoring LLM-based applications with ease. Whether you're dealing with complex AI interactions or ensuring compliance, Deepchecks simplifies the process, helping you release high-quality apps without the usual headaches.
What are the features of DeepChecks?
- LLM Evaluation: Automate the evaluation of generative AI outputs, saving time and effort.
- ML Monitoring: Continuously validate your models and data to keep your application running smoothly.
- Open-Source Testing: Built on a robust, widely-tested Python package used by over 1000 companies.
- Golden Set Automation: Generate estimated annotations quickly, reducing manual labor.
What are the use cases of DeepChecks?
- RAG Generation: Perfect for applications that rely on retrieval-augmented generation.
- Summarization Testing: Ensure your summarization models are accurate and reliable.
- Compliance Monitoring: Detect and mitigate issues like hallucinations, bias, and harmful content.
How to use DeepChecks?
- Define Your Golden Set: Start with a set of examples to evaluate your LLM outputs.
- Automate Evaluations: Use Deepchecks to generate estimated annotations.
- Monitor Continuously: Keep an eye on your model’s performance and data quality.
- Override When Necessary: Manually adjust annotations only when needed.
