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ZeroGPU launches specialized small language models (SLMs) for ad tech tasks, offering lower costs and faster performance compared to large language models. The SLMs run on CPUs and have already reduced expenses for early adopter Dappier by 50%.
Explains that search intent differs from purchase intent in commercial searches, and why AI agents must distinguish between various user intentions to avoid premature monetization or missed opportunities.
This paper presents a method for generating large-scale, labeled training datasets for legal chatbots in Korean using Local Grammar Graphs, achieving 91% F1-score with a DIET classifier.