Interesting timing, they have recently reached out to my $dayjob. We will be probably be running a workshop on our (massive) dataset with them. I'd like to evaluate the performance of a couple of analytical models we've manually built against whatever this model can do based on some prompts. Exciting times!
So suppose I've got a database of behavioral and neuroimaging data from a research study on autism. Is this something that can be used to predict diagnosis from the other data fields?
interesting! Super cool idea to augment software built with traditional DBs
I had some thoughts [1] around a concept similar to this a while ago, although it was much less refined. My thinking was around whether or not we could have a neural net remember a relational database schema, and be able to be queried for facts it knows, and facts it might predict.
This seems like a much more sensical (and actualised) stab at this kinda concept.
KumoRFM: A Foundation Model for In-Context Learning on Relational Data
(kumo.ai)110 points by cliffly 23 May 2025 | 19 comments
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He seemed like a good guy and got the sense that he was destined to do something big
I had some thoughts [1] around a concept similar to this a while ago, although it was much less refined. My thinking was around whether or not we could have a neural net remember a relational database schema, and be able to be queried for facts it knows, and facts it might predict.
This seems like a much more sensical (and actualised) stab at this kinda concept.
[1]: dancrimp.nz/2024/11/01/semantic-db/