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you will need to collect data for every decision/usecase and then train a model. But this can be used for different use cases with just a prompt. Founders resp
by hangrymoon01 19d ago
you will need to collect data for every decision/usecase and then train a model. But this can be used for different use cases with just a prompt.
Founders response to a similar question on X: https://x.com/CompleteSkeptic/status/2100067328620896408?s=20 https://x.com/CompleteSkeptic/status/2100067328620896408?s=2...
pasting it here:
zero-shot + general == programmable
I would assume any extreme scale narrow task could then be fine-tuned for, but we'll see - I suspect putting it all in shared cognitive core has bit maintainability/generalization benefits
- edot 19d agoThanks. I do concede it’s very general but that is a double-edged sword. I don’t need a general fraud identification algorithm. I need an accurate one. If I have another classification task I’ll train another model for that task.