This article is divided into four parts; they are: • The Problem with Static Batching • Code Example of Static Batching • Continuous Batching: Dynamic Scheduling and Ragged Batching • Full Implementation The simplest way to serve multiple requests together is to use static batching, by grouping them into fixed-size batches and processing each batch together.
在人工智能技术加速重塑产业版图的当下,一种以大语言模型(Large Language Models,简称LLMs)为核心底座的智能体正悄然改变人机协作的边界。与过去强调单次响应与即时交互的产品形态不同,这类被业界称为“现代AI智能体”的系统,正被设计为能够持续运行、自主推进任务的数字劳动力。这一变化不仅意味着技术能力的跃升,更预示着人工智能从“对话工具”向“流程参与者”的深层转变。