From the course: Introduction to Prompt Engineering for Generative AI
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Taking GPT-3 for a ride
From the course: Introduction to Prompt Engineering for Generative AI
Taking GPT-3 for a ride
- [Instructor] GPT-3, or Generative Pre-trained Transformer 3, refers to a model, or really, an ecosystem of models, based on this well over 170-billion-parameter model, which is insanely huge, which has been trained on enormous amounts of data. These models vary in size and capability. They're tuned for different tasks. You can play with their configuration. You can actually use them for your applications. Some are optimized for zero-shot learning or few-shot learning, which are two kind of ways of looking at prompt engineering. So let's go ahead and see what all of this means. So if I head over to openai.com/api and I sign in, I'll see that I have the capability of going to a few places here. There's a quick tutorial that you can check out. There's also an overview, documentation, playground, but I like this section specifically, this example section. And these are various tasks done by GPT-3, and these are phenomenal…
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