*** What use case is the model going to support/resolve?**
related to https://phabricator.wikimedia.org/T371902
*** Do you have a '''model card'''? If you don't know what it is, please check https://meta.wikimedia.org/wiki/Machine_learning_models.**
*** What team created/trained/etc.. the model? What tools and frameworks have you used?**
*** What kind of data was the model trained with, and what kind of data the model is going to need in production (for example, calls to internal/external services, special datasources for features, etc..) ?**
*** If you have a minimal codebase that you used to run the first tests with the model, could you please share it?**
*** State what team will own the model and please share some main point of contacts (see more info in '''Ownership of a model''').**
*** What is the current latency and throughput of the model, if you have tested it?** We don't need anything precise at this stage, just some ballparks numbers to figure out how the model performs with the expected inputs. For example, does the model take ms/seconds/etc.. to respond to queries? How does it react when 1/10/20/etc.. requests in parallel are made? If you don't have these numbers don't worry, open the task and we'll figure something out while we discuss about next steps!
*** Is there an expected frequency in which the model will have to be retrained with new data?** What are the resources required to train the model and what was the dataset size?
*** Have you checked if the output of your model is safe from a human rights point of view? **Is there any risk of it being offensive for somebody? Even if you have any slight worry or corner case, please tell us!
*** Everything else that is relevant in your opinion.**