Inventing information for testing, rather than using production-grade data about actual people and things, is a fairly manual operation that not only involves collecting data but also suitably cleaning it, according to Microsoftie Thomas Costers, a cloud solution architect for data and AI.
In the video, he and Stijn Wynants, a FastTrack engineer at Microsoft, demonstrated how to use GPT-3 to not only find and clean data for testing – in the demo, information about people's restaurant reviews – but also how to generate code to use it and ensure it works with other data already pulled together by colleagues.
"We can now just generate random test data to use in our environments – just generated it using that GPT-3 – and we can even make relational data that makes connections between those dataframes that you already have and just create random test data to test your solutions in a safe and secure way," Wynants said.
While Microsoft is aggressively banging the drum for OpenAI's technology, there are bugs and quirks that need to be worked out of AI technologies. Most recently, OpenAI this month
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