AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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PriFT (Prior-support guided Fine-Tuning), which derives token weights from a frozen pretrained reference to obtain a stable reweighting signal unaffected by fine-tuning, achieves state-of-the-art results among SFT baselines, while also providing a stronger initialization for subsequent RL.
Diffusion language models (dLLMs) have emerged as a promising alternative to autoregressive (AR) language models, offering flexible token-update orders and parallel decoding. Recent dLLMs are often initialized from pretrained AR models before diffusion conversion in order to inherit their learned representations. After...
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