3. Speculative Decoding "3. AI Algorithm Optimization"

Speculative decoding is a technique that combines large models with draft models to improve token generation speed. This method is particularly effective in natural language processing tasks and aims to accelerate the text generation process.

Process: In speculative decoding, a large model is first used for deep inference to generate preliminary outputs, which are then passed to a draft model for further processing. The draft model is typically smaller and operates more quickly, enabling it to rapidly produce the final results, thereby enhancing overall generation speed.

Applications: Speculative decoding excels in real-time applications, such as chatbots and online translation tools, allowing for quick responses to user requests and providing a smooth interactive experience.