AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work introduces SVGLM, a framework that uses scalable vector graphics (SVG) primitives to connect text and image in reasoning tasks, and exploits the duality of SVG as both image description and text instructions, yielding a more compact, interpretable solution to equip general VLMs with the capability of generati...
By integrating an environment-based verifier framework, this paper enhances LLM agents'ability to comprehend task rules and complete tasks, promoting both safer and more interpretable collaboration in AI systems.
Understanding humans over long horizons requires agents to infer not only what people need in the moment, but also how routines form, why they repeat, and when they change. We introduce SimLife, a scalable platform for simulating long-term household life with rich visual observations, ground-truth action logs, and synt...
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