ai-app-performance-optimization

To build successful AI applications, move beyond the "ideal crisis" of chasing every new research paper or model update. Real performance gains come from traditional product engineering applied to AI: data quality, workflow optimization, and user-centric evaluation.

The Optimization Pivot Differentiate between activities that offer marginal gains (The Hype) and those that drive exponential product quality (The Reality).

Optimize Data for Retrieval (RAG) If using Retrieval-Augmented Generation (RAG), the biggest lever for quality is not the retrieval algorithm, but how the data is prepared.

將焦點從人工智慧炒作（最新模型、向量資料庫、代理框架）轉移到真正提高產品品質的高槓桿活動。當人工智慧功能表現不佳、團隊陷入「研究循環」或規劃新人工智慧應用的路線圖時，請使用此功能。 來源：samarv/shanon。