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VERSION:2.0
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METHOD:PUBLISH
X-WR-CALNAME:King − Man + Woman = Queen: How AI Learns the Meaning of Wor
 ds
X-WR-TIMEZONE:America/Detroit
BEGIN:VEVENT
UID:2026-09-13-king-man-woman-queen-how-ai-learns-the-meaning-of-words@thed
 ethub.com
DTSTAMP:20260913T101706Z
DTSTART:20260913T220000Z
SUMMARY:King − Man + Woman = Queen: How AI Learns the Meaning of Words
LOCATION:Detroit
DESCRIPTION:Everyone's talking about large language models\, but here's the
  question nobody starts with: how does a machine even *represent* a word i
 n the first place? A computer only understands numbers — so before any o
 f the ChatGPT magic can happen\, "king\," "queen\," and "dog" have to beco
 me vectors of numbers. And how you do that turns out to be the whole ballg
 ame. This session goes back to the idea that cracked it open: **Word2Vec**
 . It's the technique that first showed you could capture a word's *meaning
 * as a position in space — close words end up close together\, and you g
 et the famous result that *k\n\nListing: https://thedethub.com/event-2026-
 09-13-king-man-woman-queen-how-ai-learns-the-meaning-of-words/
URL:https://www.meetup.com/machine-learning-workshop/events/316152368/
STATUS:CONFIRMED
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