DeepChecks

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?

1. Define Your Golden Set

   Start with a set of examples to evaluate your LLM outputs.
2. Automate Evaluations

   Use Deepchecks to generate estimated annotations.
3. Monitor Continuously

   Keep an eye on your model’s performance and data quality.
4. Override When Necessary

   Manually adjust annotations only when needed.