AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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GravityOCR is introduced, a parameter-shared AR-block-diffusion model jointly trained for parallel drafting and causal AR verification, and Verifying drafts before commitment lets the model commit multiple output tokens per round without a separate drafting network.
This work presents TheBioCollection, a 52.6B-token pre-training-scale corpus that converts these disparate resources into a unified, training-ready form spanning small molecules, proteins, genomic sequences, cells, and pathways, and introduces new instruction tasks for capabilities that current corpora barely cover.
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