AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Current pre-training datasets are derived from web crawls, with all their issues, and were not designed to support mid- and post-training pipelines--for instance, they contain little explicit reasoning. Thus, many frontier labs have begun to develop their own internal datasets, starting from state-of-the-art models, to...
BenCheck is proposed, a package for benchmark validity analysis that encapsulates the main checks performed in a case study on HellaSwag and can be used to audit commonsense reasoning benchmarks, including PIQA, Global PIQA, and Winogrande.
This work examines how LLMs respond to user prompts expressing varying degrees of Dark Triad traits (Machiavellianism, Narcissism, and Psychopathy) using a curated dataset, revealing systematic differences across models.
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