AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Results identify conventional watermark-shaped supports as an adversarial surface for document VLMs in the evaluated white-box setting, identifying adversarial optimization as the primary cause of degradation.
This report presents an open pretraining recipe that trains a collection of Puro-2B models from scratch on up to 1.4 trillion tokens with FP8 precision on consumer-grade RTX 5090 GPUs, and derives a Puro Cost Scaling Law that relates training cost to average model performance.
This report presents an open pretraining recipe that trains a collection of Puro-2B models from scratch on up to 1.4 trillion tokens with FP8 precision on consumer-grade RTX 5090 GPUs, and derives a Puro Cost Scaling Law that relates training cost to average model performance.
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