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NVIDIA’s DFlash Could Make Large Language Models Respond Much Faster

Large language models may appear to respond instantly, but behind every answer is a highly repetitive process. Most modern LLMs generate text one token at a time. A token might be a word, part of a word, punctuation mark or short piece of code. The model predicts one token, adds it to the context, then predicts the next. This continues until the response is complete.

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