Understanding Multi-turn Reasoning in AI Models

Language models process conversations sequentially, where each turn’s input and output feed into the next within a fixed context window. As interactions progress, earlier parts of the dialogue gradually exceed this window and are truncated, reducing long-term recall. The diagram illustrates how context, reasoning, and responses evolve over multiple turns, revealing both the continuity and memory limitations inherent in large language model interactions.