Speculative decoding can help AI chatbots improve throughput and reduce hardware demand by using a smaller model to draft tokens that a larger model validates.
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Semi-automate multi-protocol API calls, construct jq queries at the speed of light, or transform strings to and from any format.
Abstract: In traditional port operations, manual visual inspection by tally personnel is standard for detecting defects in shipping containers during unloading. However, the fast pace of operations, ...
We address a fundamental question: Can latent diffusion models and their VAE tokenizer be trained end-to-end? While training both components jointly with standard diffusion loss is observed to be ...
Xinyu Peng*, Han Li*, Yuyang Huang, Ziyang Zheng, Yaoming Wang, Xin Chen, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong ...
Abstract: Building computational models to account for the cortical representation of language plays an important role in understanding the human linguistic system. Recent progress in distributed ...
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