Monty will generate a lot of models, including objects, features, behaviors, and almost certainly things which we haven’t yet contemplated. These will need to be archived and curated, if we are to make best use of them.
Some of the models will be generated in response to a set of criteria or directions. Others may simply emerge “from the data” and need to be characterized and understood. I suspect that the latter will come to dominate the collection.
Frankly, I’m not sure how most of this should be done. Some possibilities involve adding metadata, e.g.: “tagging” models with attributes, keywords, links, notes, etc. Statistics and perhaps cosine vectors might also get involved.
All of this metadata is a way to create “mounting points” for a possibly nebulous set of characteristics. With luck, this will provide traction for graph databases, LLMs, etc. Fun stuff…