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Evolving Thoughts on Artificial Intelligence and Large Language Models

Sarah Mody (2-L), Senior Product Marketing Manager, Global Search and AI, gives demonstrations in the Bing Experience Lounge with during an event introducing a new AI-powered Microsoft Bing and Edge at Microsoft in R... Sarah Mody (2-L), Senior Product Marketing Manager, Global Search and AI, gives demonstrations in the Bing Experience Lounge with during an event introducing a new AI-powered Microsoft Bing and Edge at Microsoft in Redmond, Washington on February 7, 2023. - Microsoft's long-struggling Bing search engine will integrate the powerful capabilities of language-based artificial intelligence, CEO Satya Nadella said, declaring what he called a new era for online search. (Photo by Jason Redmond / AFP) (Photo by JASON REDMOND/AFP via Getty Images) MORE LESS
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February 21, 2023 1:53 p.m.

Amidst all the storm and drama I’ve been enjoying learning more about just how the current crop of AI applications (LLMs, or Large Language Models) operate. I don’t want to imply that I understand them at a deep level — my programming career peaked with some piecework programming in Visual Basic that I did in grad school. (Actually, there was also that extremely elegant bubble sort program I wrote in middle school. But I digress …) But it has at least given me some sense of the roots of the limitations that are coming to the fore. Specifically — but not only — the way applications like ChatGPT frequently fabricate false claims clothed in the trappings of facticity. I’m not just claiming this new protein structure exists. I’m citing the specific journal article with the page numbers and date and authors, etc. It’s got to be true!

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