Recently you might have come actress GPT-3, and some of the cutting edge tasks this innovation in artificial intelligence can carry out. If you are at all on tech twitter, there is absolutely no way you avoided the hype.

Some of the things people have demonstrated thus far with GPT-3 is dictating the layout of a webpage they wanted built using natural language and having the model code the actual front end of the website. Or, using the model to generate a full article about how humans shouldn’t be worried about robots any time soon.

Like self-driving cars, or other promises of artificial intelligence, it’s easy to get caught up in the hype. So we wanted to share a bit more about GPT-3, what it is, and what it can do. And, perhaps, find a use case for your organization.

Background

GPT-3 is a project of OpenAI, a California based AI research laboratory. Initial backing for OpenAI came from Elon Musk, Peter Thiel, and other Silicon Valley technologists. The mission of the organization is “to ensure that artificial general intelligence benefits all of humanity.”

Among their projects is the Generative Pre-trained Transformer, or GPT. As the name suggests, the latest release is the third iteration of the model, and is a massive leap forward from its predecessors. Or, any other model from other labs for that matter. GPT-3 is able to run on 175 billion parameters. For context, this is 10 times the number of parameters of the next biggest model, Microsoft’s Turing NLG.

GPT-3 is a deep learning model that leverages neural networks. The model was trained mostly on the Common Crawl dataset, which is essentially data pulled from websites on the internet on a monthly basis. In addition, it used data from book transcripts, and even Wikipedia.

What Does it Do?

GPT-3 is a model that focuses on natural language. In the simplest terms, you can pose a question to it, and have it respond back like any human could. 

The most impactful use cases for GPT-3 are probably still being dreamed up by startups all over the world. But, some of the obvious ways companies can use GPT-3 are for chatbots, answering customer support questions, or even translating plain English into SQL queries or regex expressions.

GPT-3 can also write some code, including CSS and Python.

How To Get Access

OpenAI is providing API access to GPT-3 so anyone can build applications on top of it. You can join the waitlist to get access by filling out a form with the use case you have in mind.

Summary

There is certainly a lot of hype around GPT-3, and we’ve yet to see killer applications built on it. Like any new technology, it will follow the traditional hype cycle. But the technology is clearly a massive improvement on its predecessors and holds massive potential.