Interleaved Generation
Noun · AI & Machine Learning
Definitions
A generation process in which different types of content, reasoning steps, or tool interactions are mixed together rather than produced in one uninterrupted block. Interleaved generation is common in agentic workflows that alternate between thinking, acting, and responding.
In plain English: Generating output in mixed stages with other steps woven in between.
Example: "The agent used interleaved generation to call search tools between partial drafting steps instead of waiting until the end to verify facts."