Ever since its release last month, OpenAI’s GPT-3 has been in the news for a variety of reasons. From being the largest language model ever trained to outranking state of the art models on tasks such as translation and question-answering, GPT-3 has set new benchmarks for natural language processing.
Now, in the latest news, Sharif Shameem, the founder of debuild.co, a startup which enables developers to build apps with minimum effort, has leveraged GPT-3 to generate code!
All Shareen had to do was to enter the text that captures the essence of the product and the generator dishes out code.
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According to Shareen, he only had to write 2 samples to give GPT-3 context for what he wanted to do. It then properly formatted all of the other samples.
“There were a few exceptions, like the JSX code for tables being larger than the 512 token limit. If I wanted it to write output plain HTML/CSS instead of JSX, all I would have to do would be to re-write my 2 initial samples in HTML/CSS. Then all of GPT-3’s outputs would be in plain HTML/CSS,” added Shareen.
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Here are other instances where GPT-3 made coding more fun and app development easy:
Building a to-do list app:
Generating code for Google homepage
OpenAI with the beta release of its API has attracted a plethora of experts and amateur developers to implement exotic machine learning models for their software development chores. Now it will be only a matter of time before more innovations surface in the developers community!