Why intent prediction needs more than an LLM …
Article summary
Quick briefing — cleaned from the original RSS feed
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. …
1Key Takeaways
- 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. ….
2AIWedia Score
8.7/10
High relevance — worth your attention today
Based on source trust, recency, category impact, and story depth.
3Why it matters
Developer tooling news affects CI/CD, observability, and how AI ships in production. Stack Overflow Blog reports that 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.
Explore related
Browse toolsDeveloper Tools news
Explore curated developer tools tools on AIWedia — compare, rank, and launch from our directory.
Full story on Stack Overflow Blog
Read full articleHeadlines aggregated via RSS for discovery on AIWedia. Original content © Stack Overflow Blog. We link to the source and do not republish full articles.