AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Results support the effectiveness of caption memory for episodic reasoning over long egocentric video in wearable assistants with bounded frame budgets, growing visual-token costs, and long-context retrieval failures.
This work proposes Caption-once, Frames-onDemand (CFD), a budget-aware edge-cloud agentic framework that turns visual access into a first-class, query-conditioned cost, capping per-query frame consumption regardless of video length.
This work repurposes pretrained video generative models as a unified and data-efficient framework for geometry estimation, formulated innovatively as a next-frames prediction task, and inherits naturally structured knowledge and richer priors from the video model, enabling more data efficient and effective learning of...
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