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Our guest, Christopher Manning, is a computational linguist. He builds computer models that understand and generate language using math. Words are the key component of human intelligence, he says, and why generative AI, like ChatGPT, has caused such a stir. We used to hope a model might produce one coherent sentence and suddenly ChatGPT is composing five-paragraph stories and doing mathematical proofs in rhyming verse, Manning tells host Russ Altman in this episode of Stanford Engineering’s The Future of Everything podcast.
Connect With Us:
Episode Transcripts >>> The Future of Everything Website
Connect with Russ >>> Threads / Bluesky / Mastodon
Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook
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By Stanford Engineering4.8
127127 ratings
Our guest, Christopher Manning, is a computational linguist. He builds computer models that understand and generate language using math. Words are the key component of human intelligence, he says, and why generative AI, like ChatGPT, has caused such a stir. We used to hope a model might produce one coherent sentence and suddenly ChatGPT is composing five-paragraph stories and doing mathematical proofs in rhyming verse, Manning tells host Russ Altman in this episode of Stanford Engineering’s The Future of Everything podcast.
Connect With Us:
Episode Transcripts >>> The Future of Everything Website
Connect with Russ >>> Threads / Bluesky / Mastodon
Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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