Source link : https://tech365.info/kumos-relational-foundation-model-predicts-the-longer-term-your-llm-cant-see/
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Editor’s be aware: Kumo AI was one of many finalists at VB Rework throughout our annual innovation showcase and introduced RFM from the mainstage at VB Rework on Wednesday.
The generative AI growth has given us highly effective language fashions that may write, summarize and motive over huge quantities of textual content and different sorts of information. However in relation to high-value predictive duties like predicting buyer churn or detecting fraud from structured, relational information, enterprises stay caught on the earth of conventional machine studying.
Stanford professor and Kumo AI co-founder Jure Leskovec argues that that is the vital lacking piece. His firm’s instrument, a relational basis mannequin (RFM), is a brand new form of pre-trained AI that brings the “zero-shot” capabilities of huge language fashions (LLMs) to structured databases.
“It’s about making a forecast about something you don’t know, something that has not happened yet,” Leskovec instructed VentureBeat. “And that’s a fundamentally new capability that is, I would argue, missing from the current purview of what we think of as gen AI.”
Why predictive ML is a “30-year-old technology”
Whereas LLMs and retrieval-augmented era (RAG) methods can reply questions on current information,…
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Author : tech365
Publish date : 2025-06-28 06:58:00
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