multi-turn search
A technique in information retrieval where an AI system engages in multiple iterative exchanges with a user to refine queries, gather context, and progressively narrow down relevant information. This approach significantly improves search precision compared to single-query methods.
Recent Developments
- Kimi-Researcher (Moonshot AI’s research agent powered by Kimi K2, a Mixture-of-Experts model with 32B activated parameters and 1T total parameters) achieves state-of-the-art performance in knowledge-intensive research tasks, outperforming gemini, chatgpt, Grok DeepSearch, and Manus in multi-turn research benchmarking.
2026 04 14 Kiki K2 Prompt Engineering
Source Notes
- 2026-04-23: Engine Survival: The Critical Role of Oil Pressure and Warning Lights