AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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In collaborative foundation model fine-tuning, client data is rarely homogeneous. Instead, clients typically possess unknown mixtures of distinct data distributions, or tasks. Conventional federated learning primarily addresses heterogeneity across clients without explicitly resolving latent task mixtures within each c...
It is argued that a major challenge for next-generation agentic AI is not merely how much reasoning a language model should perform, but how it should allocate reasoning according to evolving task demands, to motivate future research on adaptive reasoning mechanisms for agentic AI.
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