DeepChecks
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Recursos
- LLM Evaluation: Allows for quick iteration of LLM applications while systematically detecting and mitigating issues like biases, hallucinations, or deviations from policy.
- ML Monitoring: Provides continuous monitoring and validation of ML models to optimize performance and reliability.
- Open Source ML Testing: Utilizes a robust, Python-based framework used by over 1000 companies for validating ML models in both research and production environments.
- Golden Set Creation: Automates the generation of test sets with estimated annotations, reducing manual labor and speeding up the evaluation process.
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