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Why LLMs alone can't predict user intent

By Meridian48 News Desk · Summarised from Stack Overflow Blog ·

Yobi CTO Frank Portman explains that next-token prediction, while effective for language, is not suited for forecasting human behavior. Yobi builds a 'foundation model of behavior' using transformers and graph neural networks to power millions of personalization decisions per second. The approach prioritizes consumer data privacy while delivering real-time intent predictions.

Meridian48 take
The piece usefully challenges the assumption that LLMs are a one-size-fits-all solution, but Yobi's claims about privacy and scale need independent verification.
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Why intent prediction needs more than an LLM​​​​‌ ‍ ​‍​‍‌‍ ‌ ​‍‌‍‍‌‌‍‌ ‌‍‍‌‌‍ ‍​‍​‍​ ‍‍​‍​‍‌ ​ ‌‍​‌‌‍ ‍‌‍‍‌‌ ‌​‌ ‍‌​‍ ‍‌‍‍‌‌‍ ​‍​‍​‍ ​​‍​‍‌‍‍​‌ ​‍‌‍‌‌‌‍‌‍​‍​‍​ ‍‍​‍​‍‌‍‍​‌ ‌​‌ ‌​‌ ​​‌ ​ ​ ‍‍​‍ ​‍ ‌‍​ ‌‍ ‌‌ ​ ​‍ ‍‌ ​ ‌ ‌​‌‍​‌‌‍​ ‌‍‍ ‌‍ ‌ ‌‍‌‍‌‌‌ ​‍‌‍‌‍‌‍ ​‌‍ ‌ ‌ ​‍ ‍‌‍​ ‌‍ ​‍ ‌‍‍‌‌‍ ‍‌ ‌​‌‍‌‌‌‍ ‍‌ ‌​​‍ ‌‍‌‌‌‍‌​‌‍‍‌‌ ‌​​‍ ‌‍ ‌‌‍ ‌‍‌​‌‍‌‌​ ‌‌ ​​‌ ​‍‌‍‌‌‌ ​ ‌‍‌‌‌‍ ‍‌ ‌​‌‍​‌‌ ‌​‌‍‍‌‌‍ ‌‍ ‍​ ‍ ‌‍‍‌‌‍‌​​ ‌​ ‌‌​ ​​‌‍‌‍​ ‌​​ ‌‌​ ​​​ ‍‌‌‍​ ​‍ ‌​ ‌​‌‍‌‍​ ‌‌​ ‌‌​‍ ‌​ ‌​‌‍‌‍​ ​‌​ ​‌​‍ ‌​ ‍​‌‍​‌‌‍‌​‌‍​ ​‍ ‌​ ‌‌​ ‌‌​ ‌‌​ ‌‍‌‍‌‌​ ‍​​ ​‍​ ​‌‌‍‌‌‌‍​‌​ ‌ ​ ‌ ​ ‍ ‌ ‌​‌ ‍‌‌ ​​‌‍‌‌​ ‌‌‍​‍‌‍ ​‌‍ ‌‍‌ ‌‌​​‌‍ ‌ ​ ‌ ‌​​ ‍ ‌ ​​‌‍​‌‌ ‌​‌‍‍​​ ‌‌ ‌​‌‍‍‌‌ ‌​‌‍ ​‌‍‌‌​ ‌‍​‍‌‍​‌‌ ​ ‌‍‌‌‌‌‌‌‌ ​‍‌‍ ​​ ‌‌‍‍​‌ ‌​‌ ‌​‌ ​​‌ ​ ​‍‌‌​ ​ ‌​​‌​‍‌‌​ ​‍‌​‌‍​‍‌‌​ ​‍‌​‌‍‌‍​ ‌‍ ‌‌ ​ ​‍ ‍‌ ​ ‌ ‌​‌‍​‌‌‍​ ‌‍‍ ‌‍ ‌ ‌‍‌‍‌‌‌ ​‍‌‍‌‍‌‍ ​‌‍ ‌ ‌ ​‍ ‍‌‍​ ‌‍ ​‍‌‍‌‍‍‌‌‍‌​​ ‌​ ‌‌​ ​​‌‍‌‍​ ‌​​ ‌‌​ ​​​ ‍‌‌‍​ ​‍ ‌​ ‌​‌‍‌‍​ ‌‌​ ‌‌​‍ ‌​ ‌​‌‍‌‍​ ​‌​ ​‌​‍ ‌​ ‍​‌‍​‌‌‍‌​‌‍​ ​‍ ‌​ ‌‌​ ‌‌​ ‌‌​ ‌‍‌‍‌‌​ ‍​​ ​‍​ ​‌‌‍‌‌‌‍​‌​ ‌ ​ ‌ ​‍‌‍‌ ‌​‌ ‍‌‌ ​​‌‍‌‌​ ‌‌‍​‍‌‍ ​‌‍ ‌‍‌ ‌‌​​‌‍ ‌ ​ ‌ ‌​​‍‌‍‌ ​​‌‍​‌‌ ‌​‌‍‍​​ ‌‌ ‌​‌‍‍‌‌ ‌​‌‍ ​‌‍‌‌​‍‌‍‌ ​​‌‍‌‌‌ ​‍‌ ​ ‌ ​​‌‍‌‌‌‍​ ‌ ‌​‌‍‍‌‌ ‌‍‌‍‌‌​ ‌‌ ​​‌ ‌‌‌‍​‍‌‍ ​‌‍‍‌‌ ​ ‌‍‍​‌‍‌‌‌‍‌​​‍​‍‌ ‌ →
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