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This is really cool. It's a text-to-speech and the gist seems to be that they synthesize it from only a little audio. The results are clearly synthetic and need work. However what's cool is that there are a ton of characters (from popular shows and video games) and there are useful statistics like inferred emotion (which is also in the output). Honestly it's a big problem how a lot of AIs are like "black boxes" where…
You can fine tune GPT-3
This is unrelated but what's with the fascination with HN users and My Little Pony? I've noticed this on a lot of posts in the past few months.
This is unrelated but what's with the fascination with HN users and My Little Pony? I've noticed this on a lot of posts in the past few months.
Interesting how it seems like there's little correlation between source sample-size and quality. e.g. the Portal Sentry turret at 1.5min input vs the 100+ minutes of the narrator from Stanly Parable which sounded like auto-tune had a stroke.
Earlier quoted context omitted.
You can fine tune GPT-3
Only if you're OpenAI
Have you used GPT-3 with any of the methods mentioned in the docs?
I’ve seen that GPT-3 can produce quite starkly different results when prompted differently and when samples have been uploaded.