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> I don't mean to be negative but - has anyone at all found a use for any of the 7B models? Productive/generative and logic-based tasks improve with the size o
by jstarfish 3y ago
> I don't mean to be negative but - has anyone at all found a use for any of the 7B models?
Productive/generative and logic-based tasks improve with the size of the corpus, but smaller models are useful for reductive tasks where florid prose and accuracy are not a requirement-- i.e. summarize this or classify that. I use dolly-3B for quick-and-dirty work like this since I can run it on spare hardware.
Commercially, you could probably get away with hot-swapping large models for small ones during periods of high demand-- for a chat service, kick every 3-4th exchange to a smaller, cheaper model to reduce load on the larger one. Nobody is perfectly coherent all the time...
- thewataccount 3y agoHuh interesting it does appear pretty good at summarization when I tried it. Are they consistent enough to not modify the information or mix up numbers in your experience? That's my main concern is it making "changes" to what it's summarizing for that usecase.
- redox99 3y agoThat's kind of expected since GPT2 was already relatively decent at summarizing.