In May 2020 OpenAI, an artificial research laboratory, released a new type of AI model called GPT-3. This large language model was trained on a corpus of hundreds of billions of words, with the goal of predicting what text comes next given a prompt by the user. The model quickly gained media attention for its ability to be applied to a wide variety of language tasks with minimal prompt required from the user, known as ‘few-shot learning’. For example, it was demonstrated that the model could translate from English to French with a good level of efficacy through the user providing a few examples beforehand. It also performed well in text summarization, classification, and question-answering tasks.
Moving on from the initial buzz, which was coupled with growing concerns around AI use in decision-making, GPT-3 went quiet as it remained in private beta and it wasn’t clear if this model was ready to be incorporated into software production and what its use cases might be beyond general entertainment.
Commercialization
However, it seems that events are accelerating and Microsoft has begun commercializing this technology, which is not too surprising given the company’s significant investment into OpenAI. Microsoft subtly incorporated GPT-3 into its low-code application, Power Apps, by allowing users to type in natural language what their intention is and the application will then return the appropriate syntax.
Continue reading: https://blogs.lse.ac.uk/businessreview/2021/09/13/can-artificial-intelligence-make-software-development-more-productive/
Moving on from the initial buzz, which was coupled with growing concerns around AI use in decision-making, GPT-3 went quiet as it remained in private beta and it wasn’t clear if this model was ready to be incorporated into software production and what its use cases might be beyond general entertainment.
Commercialization
However, it seems that events are accelerating and Microsoft has begun commercializing this technology, which is not too surprising given the company’s significant investment into OpenAI. Microsoft subtly incorporated GPT-3 into its low-code application, Power Apps, by allowing users to type in natural language what their intention is and the application will then return the appropriate syntax.
Continue reading: https://blogs.lse.ac.uk/businessreview/2021/09/13/can-artificial-intelligence-make-software-development-more-productive/
