LLM Continuous Batching Explained: The Secret Behind Fast LLMs
中文摘要
连续批处理技术通过优化调度提高LLM响应速度，是Claude等模型实现高效并发和快速回复的核心秘诀。
English Summary
Continuous batching is a scheduling optimization that boosts LLM response speeds by processing multiple requests simultaneously, ensuring fast performance for models like Claude.
Original Excerpt
The scheduling trick behind every fast LLM response, and the real reason your Claude replies don’t crawl. Continue reading on Medium »