Deepchecks Monitoring takes the open source testing experience all the way to production: enabling you to send data over time, explore system status and receive alerts on problems that arise over time.
Replies
Best
That is a good problem to solve, many ML systems lack proper monitoring. Good luck with the launch!
Congratulations on your launch! It's super exciting to see how you're democratizing AI monitoring and validation with an open-source solution.
The idea of enabling users to test out your platform without the need to share sensitive data is a critical step toward building trust and accessibility in AI and ML ecosystems.
The comprehensive set of features, specifically the root cause analysis capabilities, tracking checks over time, and the ability to set alert rules, really hit the nail on the head. These are indeed crucial aspects of effective ML monitoring, and integrating them in such a user-friendly manner speaks volumes about your attention to detail and understanding of user needs.
The balance between maintaining a strong commitment to the open-source community while also addressing the needs of larger teams is great!
Congrats on the launch! π
Replies
Deepchecks Monitoring
Deepchecks Monitoring
Deepchecks Monitoring
Deepchecks Monitoring
Deepchecks Monitoring
Deepchecks Monitoring
Deepchecks Monitoring
Deepchecks Monitoring
IONI
Deepchecks Monitoring
A to Z of Pricing and Monetisation
Deepchecks Monitoring
ChurchAi
Deepchecks Monitoring
Podgraph
Deepchecks Monitoring
Deepchecks Monitoring
GoRetro
Deepchecks Monitoring