alt Hacker NewsI built a whole thing that collects data, trains classifiers, exports models and dataset just for that. Claude writes me a terraform file that contains shape of the classifier and dataset. For images it can create datasets based of another dataset (crop this region from images that have these labels).
Originally it was so I can label data to fine-tune a VLM, but now a few tiny classifiers that run in milliseconds on cpu.
Now its collecting data to make a domain specific BERT and do what Jev does.
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Very cool. What kinda of classifications are you running? How big are the models/training sets?
Also curious about if you plan on doing some sort of routing for the requests. Like detecting the type of task to decide which model to route the request to
> Now its collecting data to make a domain specific BERT and do what Jev does.
this misses the point of jev somewhat - the point is that this is a foundational, general purpose classifier model - see some good sources https://x.com/mparakhin/status/2101683565520199887?s=12