Boosting Inference Speed in Large Language Models: The Power of Self-Speculative Decoding Over Autoregressive Methods
Introduction Language Models (LLMs) have a significant impact on a range of applications from text production, translation, to natural language interpretation. However, one general problem affecting large language models is the high inference costs. Over the years, these costs have been footed by the autoregressive decoding technique, but recent developments have introduced a more effective…