AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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It is demonstrated that learning when to reveal and reconsider tokens can improve the accuracy-compute trade-off without updating the decoder backbone.
This work pretraining three 3B block-diffusion denoisers (attention, mamba, and hybrid) on 300B tokens under one single-frontier objective and decoding all three through a single cached interface finds the Mamba cache delivers 4.3x lower latency, 11x less memory, and 2.6x higher single-stream throughput.
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