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montenegrohugo

GPT-3 has been used in a ton of commercially important applications.

To name a few:

- GitHub CoPilot (transformative imo)

- Markcopy.ai, jenni.ai, etc.... Tons of content generation and SEO tools startups

- AI Dungeon and such

- Plenty of chatbots

- It's super useful for all kinds of classification tasks too (as are all transformer models)

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Thanks for the response, I'm not familiar with Markcopy.ai, jenni.ai, but the others are "toys" if we're being honest (although as I said - very cool toys). You wouldn't want to use GPT-3 to recommend drugs for a condition you feed it...would you? As far as I understand, this is the kind of problem Cyc is trying to solve with it's domain-specific rules.

edit: Cyc can also tell you why it gave the response it did - something that deep nets cannot do. This is important in many fields, otherwise you cannot trust any response it produces.

Current set of tools in explainable AI do allow deep neural nets to tell why they gave the response that they did to a certain extent.

Contact me if you want to see it applied to text based DL models, time series based DL models or Image based DL models.

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