AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Influence functions estimate how individual training examples affect the behavior of large language models (LLMs). Analyzing how training data influence different behaviors of an LLM involves repeated influence computation. Reusing stored training gradients reduces the computational cost, but storing full gradients is...
Librarian, a persistent search sub-agent that tracks repository-search history and suppresses redundant exploration actions across agents is proposed, which reduces per-episode GPU energy consumption of existing multi-agent SWE systems while preserving task performance.
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