AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The authors train 26M-parameter transformers on a synthetic language where recency and rarity are exactly coextensive, and separate them with a minimal causal edit that inverts one cue while holding the truth, token count and answer position fixed.
It is argued that programming should be treated not only as a technical skill but also as a sociological practice that enables students to fully participate in computational inquiry while engaging critically and ethically.
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