AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Large language model (LLM) agents are increasingly evaluated on long-horizon tasks, including autonomously running a business. Existing benchmarks for this setting are almost exclusively English-language, Western in retail context, and single-agent, with the agent observing the business directly. We study how these res...
Testing four instruction-tuned models from three families in five Indic languages alongside English suggests that safety evaluations in Indic languages may not reflect how models treat their everyday users.
A previously undocumented confound in how unlearning is evaluated on BatchNorm-based architectures is identified: a single forward pass over retain data, an operation that modifies no weight, can deterministically rewrite the model's normalization state and reverse the apparent surface-metric forgetting.
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