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> Training these models with extra data turns out to be incredibly expensive and relatively ineffective.

I can see that it's expensive, but have you tried it for effectiveness?

BTW, your approach is very cool here.

I've only done two experiments with it myself - training a tagging model on my blog's content and using that to suggest tags for untagged entries - and I found the results very unimpressive fur both a cheaper and the most expensive model.

I've seen a few other people suggest that time tuning GPT is unlikely to give better results than just feeding the regular model a few examples in a regular prompt.

I've yet to see anyone talking about a GPT3 fine tuning project that went really for them. Maybe I haven't looked in the right places.

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