In this moment, excerpted from the Generative AI Digital Summit event, which took place on May 25, Laurence Moroney, Lead AI Advocate, Google, breaks down the “GPT” in ChatGPT.
To hear practitioner and platform insights on how solutions such as ChatGPT will impact the future of work, customer experience, data strategy, and cybersecurity, make sure to register for your on-demand pass to Acceleration Economy’s Generative AI Digital Summit.
00:08 — Artificial intelligence (AI) is a lot more than just ChatGPT and large language models. But in the hype cycle, there’s a peak of inflated expectations and a trough of disillusionment. One gets to the trough by really understanding the technology and its limitations.
00:48 —Moroney explains GPT, the favorite three-letter acronym at the moment. The “T” stands for “transformers.” Transformers are machine learning algorithms used to understand text.
01:10 — The “GP” stands for “generative pre-trained.” The “P” in “pre-trained” refers to getting lots of text and figuring out the patterns, or programming a computer to figure out the patterns in that text for whatever comes next.
01:26 — The “generative” part of it is now as simple as giving it a piece of text, a prompt. The idea is that someone gives a computer a piece of text, which is a prompt, and it completes that prompt. And that’s the generative side of it. The computer is creating new content.
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