Quiz to rate the health of your production ML system
Running an ML model reliably and successfully in production is a whole set of challenges. It can be hard to measure if your team is doing enough. Take this quiz, based on https://storage.googleapis.com/pub-tools-public-publication-data/pdf/aad9f93b86b7addfea4c419b9100c6cdd26cacea.pdf, to evaluate how you are doing and how to improve.
I gave it a try. This is actually pretty comprehensive. Thanks for making it. On a side note, what app did you use to make the quiz?
Hi Product Hunt community! While diving into the MLOps space, we quickly realised that there was a vast amount of resources and content out there, especially if you knew what problem you are trying to solve. However, for ML practitioners, there isn't really a yardstick to tell you how well your system is placed right now and what are the potential improvement you should consider. To help this, we built out an easy to use questionnaire, based on Google's ML Test Score (https://research.google/pub
Love that y'all made Google's own ML score more "accessible and useful". Really sleek feeling site. Do you store the responses anywhere at the end?
Great attempt and good luck for this product👍👍👍👍
Will definitely share this with HR team!!
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.