AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work instantiates this 2D-to-3D supervision framework for report generation and segmentation, using pretrained 2D models as automatic annotators to supervise 3D VLMs and benefits automatically from stronger 2D models.
This survey aims to systematically address resource efficiency challenges in Large Language Models by reviewing a broad spectrum of techniques designed to enhance the resource efficiency of LLMs, and introduces a nuanced categorization of resource efficiency techniques by their specific resource types.
This work introduces a novel approach to transform the concept of "how to design chemical analogs like a medicinal chemist" into a primary training objective for generative models by focusing on matched molecular pair transformations (MMPTs) as the fundamental unit of chemical modifications.
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