Stack Overflow Blog
6/30/2026
Why intent prediction needs more than an LLM
Short summary
Next-token prediction, the core mechanism of LLMs, isn't suited for forecasting human behavior and intent. Yobi uses transformers and graph neural networks instead to build a specialized 'foundation model of behavior,' enabling millions of real-time personalization decisions per second while preserving consumer data privacy.
- •LLM inductive bias (next-token prediction) is wrong for behavior forecasting and personalization
- •Yobi's architecture combines transformers with graph neural networks for specialized behavior modeling
- •Can execute millions of personalization decisions per second while maintaining strict data privacy
Generated with AI, which can make mistakes.
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