AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Many localized large language model (LLM) unlearning methods select a small parameter subset from a localization signal and keep it fixed during optimization. The parameters most associated with a target, however, need not be the best ones to update, and candidate interventions can change value as optimization proceeds...
A constrained mixed-strategy GroupDRO framework for system-prompt selection that reduces the Overall Mean, Worst 25% Mean, and Worst by 13.7% on average relative to no mitigation while keeping overall quality close to Average selection.
Language model agents now execute bounded tasks reliably. Whether they can sustain effective decision-making over long horizons, where actions have cumulative consequences and the environment responds to their choices, remains largely unmeasured. FM-Bench (Football Management Benchmark) measures this. An LLM agent runs...
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