Podcasts · The Stack Overflow Podcast
Why intent prediction needs more than an LLM
· 30 min · Episode 963
Episode Why intent prediction needs more than an LLM
Ryan sits down with Frank Portman, CTO at Yobi, to talk about why next-token prediction, though great for language, isn’t the right inductive bias for forecasting human behavior. They discuss how Yobi builds a “foundation model of behavior” using transformers and graph neural networks instead of chat-style LLMs, and what it takes to run millions of personalization decisions per second while keeping consumer data private.
Episode notes:
Yobi is a behavioral AI company building foundation models that predict future behavior for ad tech, marketing, and more.
Connect with Frank via fportman.com or at yobi.ai.
Congrats to Hooked on winning a Populist badge for their answer to Removing whitespace around a saved image.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Shows are listed from Apple Podcasts' charts and directory, and Podcast Index where it is used. Every show and episode belongs to its publisher and plays from the publisher's own feed; this site hosts none of them. Explicit shows are for adult profiles only, and children’s profiles hear only children’s shows. More about this list.