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zatkin 6 hours ago [-]
As someone who isn't a machine learning expert by any means, are these "System One" models effectively a "refreshed look" at prior art in the space, or is it truly novel new ways of using models? I'm deeply invested in trying to dissect more from this space, as I think inserting a small {classifier,decider,extractor,...} model at any point in the SDLC can drastically improve the state of affairs. More specifically, I'm thinking that since these models are so small, they're able to fit into Docker containers, which are effectively run ~everywhere for CI / CD, and cost basically whatever is the cost of storing a Docker image.
nico 12 hours ago [-]
Love this trend of specializing models for specific tasks and making them better at them
Looking forward to this being reinforced by smaller models as well
Exciting stuff happening
cat-whisperer 12 hours ago [-]
It's interesting that they haven't published any benchmarks yet.
14 hours ago [-]
spdustin 13 hours ago [-]
Seems like it might excel at NER and intent-slot tasks, too.
giancarlostoro 14 hours ago [-]
Alright, I definitely want the open weight version of this.
Looking forward to this being reinforced by smaller models as well
Exciting stuff happening