AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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These findings provide functional support for the view that prototype-based categorization contributes to behavioral adaptability and show that transferring this representational principle to LLMs yields generalizable safety under adversarial conditions.
This Perspective proposes machine experientialism, positing that LLMs build their own form of understanding from training corpora, and shifts from cataloging LLMs’ human-like traits to uncovering their distinct logic that emerges from this text-based world.
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