AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The growing computational power of modern GPU data centers has let a few industrial giants train and deploy large language models (LLMs) on massive amounts of data. Yet the sheer scale of these models and their training data makes centralized development increasingly hard to sustain, and at the same time shuts out smal...
On-Policy Attention Linearization (OPAL) is introduced in which the hybrid attention student samples its own long-context trajectories and receives dense supervision from the frozen full-attention teacher.
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