AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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It is suggested that LLMs can serve as auxiliary annotators for sensitive-language detection in historical materials, provided that human oversight and contextual interpretation remain central to annotation workflows.
This work argues that future entropy is also essential for LLM decoding, and estimates its lower and upper bounds by computing the lower and upper bounds on a hidden Markov model (HMM), which is distilled as a surrogate of the LLM.
Systematic dialectal performance gaps in language models (LMs) are well documented, but the source of these disparities within the modern language modeling pipeline remains unclear. Our study traces this"dialect tax"across the natural language processing pipeline. Using parallel English dialect corpora that hold meanin...
P RO A CT represents an orthogonal defense strategy that serves as an additional guardrail to enhance LLM safety against the most effective attacks.
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