AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The first capability-driven benchmark designed to evaluate proactive agents in dynamic, real-world settings is introduced, and comprehensive comparisons across both models and frameworks show how base model capabilities and agent framework designs jointly shape performance in real-world environments.
Twin, a unified continuous token space formed by channel-wise concatenating ViT and VAE features on the same token grid, so the sequence length is unchanged and attention cost does not increase is proposed, which performs competitively on multimodal understanding benchmarks and improves reconstruction fidelity.
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