AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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It is found that a model's longevity is shaped more by when it was released than by its characteristics: release year predicts time-to-peak and lifespan more strongly than architecture, openness, or scale.
The findings suggest that AI holds significant potential to increase scientific productivity, however, as with other sectors, its ultimate impact will be governed by complex task interdependencies and investment into the elimination of emerging bottlenecks.
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