Radicalbit AI Monitoring is the open-source platform that empowers you to simply measure the effectiveness and reliability of Machine Learning and Large Language Models, driving trust and optimal performance in your AI applications.

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Radicalbit AI Monitoring is an open source platform designed to monitor different types of artificial intelligence models, including regression, binary classification, multi-class classification, and LLMs. Unlike other open source AI monitoring platforms, it is completely built on top of high performance and scalable technologies like Apache Spark and Kubernetes, so you can use it even with large workloads. It also offers a fresh, modern, intuitive, and truly easy-to-use user interface. And it's licensed under Apache 2.0, so it's permissive and enterprise-friendly. Please give it a try, post comments and reviews, and if you like the product, join us on our journey by contributing to its development!

Thank you for open-sourcing this! The functionalities are already impressive as this extends observability to AI models in production. I'd like to see a couple of real world use cases described as the documentation is mostly about configuration.

Thank you for the free version of the platform. It's very easy to set up and move my first steps on AI Monitoring.