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What is Speculative Decoding for Fast Text Generation about?

Speculative decoding achieves a 2-3x reduction in inference time with negligible accuracy loss by utilizing two models: a smaller Assistant model for generating speculative tokens and a larger Main model for verification. The process involves generating a sequence of tokens, verifying them in parallel, and rejecting or accepting based on probability distributions. Key considerations include ensuring both models share the same vocabulary and that the Assistant model is significantly faster than the Main mode

Author

wadekarpravin69

Language

EN