Continuous-eval is an open-source package designed to provide a comprehensive and modular evaluation of GenAI application pipelines. This innovative tool offers a variety of benefits, including:
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Modularized Evaluation: Continuous-eval allows you to measure each module in your pipeline with tailored metrics, ensuring that you have a clear understanding of the performance of each component.
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Comprehensive Metric Library: The package offers a wide range of metrics that cover various aspects of GenAI, such as Retrieval-Augmented Generation (RAG), Code Generation, Agent Tool Use, and Classification. You can mix and match Deterministic, Semantic, and LLM-based metrics to suit your needs.
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Leverage User Feedback: Continuous-eval makes it easy to integrate user feedback into your evaluation process, providing a more human-like evaluation of your pipeline.
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Synthetic Dataset Generation: The package enables you to generate large-scale synthetic datasets to test your pipeline, ensuring that it can handle a variety of scenarios.
By using Continuous-eval, you can ensure that your GenAI application pipeline is robust, efficient, and effective in its performance. This open-source package is a valuable tool for anyone working with GenAI and is a testament to the power of collaboration and innovation in the AI community.
