
Radicalbit AI Monitoring
Open Source AI Monitoring for ML & LLM




About | Details |
---|---|
Name: | Radicalbit AI Monitoring |
Submited By: | Scotty Feest |
Release Date | 10 months ago |
Website | Visit Website |
Category | Open Source GitHub Data & Analytics |
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.
I’m intrigued by the open-source approach to monitoring AI models. It seems like a valuable tool for ensuring model reliability.
10 months ago
I appreciate the focus on transparency and flexibility with this open-source platform. It looks promising for monitoring and improving AI model performance.
10 months ago
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.
10 months ago
Radicalbit’s integration with ML workflows and its easy adoption are great features.
10 months ago
The feature for monitoring AI models and ensuring data quality are really impressive.
10 months ago
💫 Congrats on the launch! Your creativity and determination are truly inspiring. Here's to many more milestones ahead—keep going strong! @roberto_bentivoglio
10 months ago
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!
10 months ago