AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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It is found that agents are less effective at resolving tasks when building on agent code compared to human code, with task resolve rate drops of up to 13.1%.
A cross-lingual needle-in-the-haystack task is designed, to identify RTHs that retrieve key information and further map it to target-language output and advances the understanding of multilingual LMs by isolating the attention heads responsible for mapping to target languages.
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