Co-Designing AI Models Using Speculative Decoding for Faster LLM Inference
SMRTR summary
Speculative decoding speeds up AI language model inference by using a small draft model to predict several tokens at once, which a larger target model then verifies in parallel, cutting total processing steps. NVIDIA's research offers five practical guidelines for choosing draft length and method to maximize speed without sacrificing accuracy.
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