Multi-Turn Prompt Design
Multi-turn prompt design is the practice of structuring conversation flows and managing context across multiple LLM interactions.
It covers how to maintain coherent dialogue state, apply memory strategies, and manage context window limits so that AI systems respond accurately over extended exchanges. Also known as: Conversational Prompting, Dialogue Design
What this topic covers
- Foundations — Multi-turn prompt design determines how well an AI holds together across a conversation.
- Implementation — Building multi-turn systems means choosing between sliding windows, compression, and external memory — each with distinct latency and accuracy trade-offs you need to understand before picking a strategy.
- What's changing — Context windows are expanding and memory architectures are shifting faster than most teams can keep up.
- Risks & limits — Persistent conversation memory raises serious questions about consent, data retention, and the boundary between helpful personalization and surveillance.
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