AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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LLM-based agents face challenges in personalized interactive tasks due to heterogeneous, multi-typed, and implicitly constrained long-term traces. Existing memory mechanisms struggle with accurate routing and retrieval, especially on-device where personalization is critical. Most methods use single-vector representatio...
Light-Omni is introduced, a multimodal agent framework for reflexive and lightweight video understanding that achieves semantically aligned retrieval and reflexive responses while avoiding iterative reasoning and serves as a memory system to enhance both the performance and efficiency of existing MLLMs.
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