Beating the Bottleneck: How Speculative Decoding Supercharges LLM Speed

As AI models grow larger, inference latency has become a critical roadblock for seamless user experiences. Speculative decoding solves this by pairing a fast draft model with a powerful main model to verify tokens in batches rather than sequentially. This breakthrough significantly reduces response times without sacrificing output quality, making real-time LLM applications far more viable and cost-effective.