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README.md

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@@ -323,6 +323,7 @@ Please review our [CONTRIBUTING.md](https://github.com/EthicalML/awesome-product
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* [MLPerf Inference](https://github.com/mlcommons/inference) ![](https://img.shields.io/github/stars/mlcommons/inference.svg?style=social) - MLPerf Inference is a benchmark suite for measuring how fast systems can run models in a variety of deployment scenarios.
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* [NannyML](https://github.com/NannyML/nannyml) ![](https://img.shields.io/github/stars/NannyML/nannyml.svg?style=social) - NannyML is a library that allows you to estimate post-deployment model performance (without access to targets), detect data drift, and intelligently link data drift alerts back to changes in model performance.
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* [OpenCompass](https://github.com/open-compass/OpenCompass) ![](https://img.shields.io/github/stars/open-compass/OpenCompass.svg?style=social) - OpenCompass is an LLM evaluation platform, supporting a wide range of models (LLaMA, LLaMa2, ChatGLM2, ChatGPT, Claude, etc) over 50+ datasets.
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* [OpenLIT](https://github.com/openlit/openlit) ![](https://img.shields.io/github/stars/openlit/openlit.svg?style=social) - OpenLIT is an open-source AI engineering platform that simplifies LLM workflows with observability, monitoring, guardrails, evaluations, and seamless integrations.
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* [Opik](https://github.com/comet-ml/opik) ![](https://img.shields.io/github/stars/comet-ml/opik.svg?style=social) - Opik is an open-source platform for evaluating, testing and monitoring LLM applications.
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* [Phoenix](https://github.com/Arize-ai/phoenix) ![](https://img.shields.io/github/stars/Arize-ai/phoenix.svg?style=social) - Phoenix is an open-source AI observability platform designed for experimentation, evaluation, and troubleshooting.
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* [PromptBench](https://github.com/microsoft/promptbench) ![](https://img.shields.io/github/stars/microsoft/promptbench.svg?style=social) - PromptBench is a unified evaluation framework for large language models

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