AnxiousSeal95
I think I can definitely see value in that.

I found that once you go beyond the easy examples, where you are largely using datasets that curated as part of a python package, then it took a bit of effort to get my head around the dataset tools.

Likewise with the deployment side of things, and the Triton inference engine, there are certain aspects of that which I am relatively new to, so to go from the simple Keras example, to getting a feeling that the tool will cover the use cases we may encounter is quite a lot of work.

To some extent, there is no substitute for self learning and spending time working out how to use a given system, so I fully realize that to become knowledgeable enough to draw comparisons and make conclusions on whether the platform is something we think would add value to our process in the future if we adopted it, you have to get your hands reasonably dirty.

Having said all that, I definitely see how spending time with an expert user of the system would help short cut some of that learning, and likely give a more representative impression of how the system would fit with our potential use cases and what it is capable of doing.