AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work introduces KoViDoRe, a benchmark for Korean visual document retrieval, and curates a large-scale training dataset, Ko-VDR Train Public, to support the development of retrieval models tailored to Korean visual documents.
K-EXAONE 2.0 improves over K-EXAONE and remains competitive with open-weight models, showing its largest gains in agentic coding and long-context understanding and its clearest strengths in long-context retrieval and safety.
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