AI text generators like GPT-3 are used to analyze a vast body of texts and to know how to predict letters and words. This sounds like a simple approach to learning, but it produces unbelievably flexible and varied software.
A number of tools, from chatbots to texts based dungeon generators, for example, were generated with the GPT-2,. And because it learns how to generate data simply by searching at past examples, it can also be optimized at playing chess with the right training and solving mathematical problems.
To date OpenAI claims around a dozen users in the GPT-3 API.
This includes the search provider Algolia, which uses the API to improve the comprehension of natural language search queries; the Koko platform for mental medicine, which analyzes it when users are experiencing 'crisis; and Replika, which constructs 'AI compañeros.'
OpenAI says it slowly takes things and keeps an eye on malicious uses before making the API available to everyone, as with its initial launch of GPT-2. Sam Altman, CEO of OpenAI, said Bloomberg, "I don't know exactly how long it will take!" "We prefer to be too slow rather than too fast. We 're going to err, and we're going to learn.
The news of the release of the API is not only a step forward in a promising field of machine learning, it is also a milestone in OpenAI's company history.
While the laboratory was established in 2015 as a nonprofit company, it moved its business model back to 2019 and established a profit-oriented company called OpenAI LP, which the laboratory leaders said needed to attract investment (including $1 billion for Microsoft) needed to fund its ambitious work. However, some AI investigators criticized the move and said that it undermined the claim that AI "is advantageous" to all humankind in the laboratory ..
Now that the company has moved deeper into the commercial arena, we must look closely at how this new line of work affects the goals of its research.