No as you could have multiple examples of expected output in single prompt.
You should just "ask" - that's zero shot.
If you "ask + provide" examples then you are in the n+1 shot realm.
But I suppose terminology is shifting from this...
It means there is zero training involved in getting from voice sample to voice duplicate. There used to be models that take a voice sample, run 5 or 10 training iterations (which of course takes 10 mins, or a few hours if you have hardware as shitty as mine), and only then duplicate the voice.
This you give the voice sample as part of the input, and immediately it tries to duplicate the voice.
zero-shot is a single prompt (maybe with additional context in the form of files.)
few-shot is providing a few examples to steer the LLM
multi-shot is a longer cycle of prompts and refinement
I've been calling good results from a single prompt "single-shot." Is this not right?
No as you could have multiple examples of expected output in single prompt. You should just "ask" - that's zero shot. If you "ask + provide" examples then you are in the n+1 shot realm. But I suppose terminology is shifting from this...
This is one-shot.
if you had one-shot
or one opportunity
to seize everything you ever wanted in one moment
2 replies →
I believe in this case it means that you do not need to provide other voice samples to get a good clone.
It means there is zero training involved in getting from voice sample to voice duplicate. There used to be models that take a voice sample, run 5 or 10 training iterations (which of course takes 10 mins, or a few hours if you have hardware as shitty as mine), and only then duplicate the voice.
This you give the voice sample as part of the input, and immediately it tries to duplicate the voice.
Doesn’t NeuTTS work the same way?
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