Why Is Speculative Decoding Fast?

Speculative decoding is a technique used to improve the performance of neural networks by predicting and preparing for possible future inputs, allowing for faster inference times. This technique is particularly effective in scenarios where the input data is highly repetitive or has a strong structure. Researchers have implemented speculative decoding in various neural network architectures, including transformers, and have achieved significant speedups in inference time. The technique is particularly useful for applications such as language translation, speech recognition, and natural language processing.