DeepEval provides a range of metrics to assess the quality of LLM's answers to ensure they are relevant, consistent, unbiased, and non-toxic. These can be easily integrated into CI/CD pipelines, enabling machine learning engineers to quickly assess and verify the performance of their LLM applications during iterative improvements. DeepEval offers a Python-friendly offline evaluation method, ensuring your pipeline is ready for production. It's like 'Pytest for your pipeline', making the process of production and evaluation as straightforward as passing all tests.