Prompt Caching: A Cost-Effective LLM Optimization Strategy

This article presents a practical interview question focused on optimizing LLM API costs through prompt caching. It highlights the importance of semantic similarity analysis for identifying redundant requests and reducing operational expenses. The lack of detailed implementation strategies limits its practical value.

• •Prompt caching reduces LLM API costs.
• •Semantic similarity analysis identifies redundant prompts.
• •Optimization maintains response quality.