AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Faithfully understanding the internal process that occurs as models form their chain of thought is an important problem with the rise in model capabilities. However, this remains challenging due to the variance in sampled responses, making it difficult to isolate the effects of interventions and compare model reasoning...
This paper studies how much of activation monitors's success depends on access to the original behavior-generating computations, and finds monitors trained with native access have notable uplift on original examples whose behavioral label changes under paraphrasing.
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