Users discuss whether task-specific small language models (SLMs) can outperform larger models in specific tasks, citing benchmarks where 9B models match or exceed larger ones. They propose a sequential agentic workflow using multiple specialized models, with one coordinating and others verifying answers, suggesting diffusion models could accelerate such workflows despite reduced intelligence.
SLMs and Diffusion: The Future of Small, Specialized Models?
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