AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work reviews data strategies across the training lifecycle and formulates them as policies that allocate a training budget over candidate examples, then divides methods by their decision granularity, model dependence, and temporal adaptivity, then compares their computational requirements and empirical support.
An analysis of model internals revealed a low-dimensional space with three interpretable dimensions matching a formal pre-specified framework for the geometry of legal concepts, showing how legal thought in LLMs may be organized and directed.
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