How to Cut LLM Costs by Nearly 60%? - Caching Prompts

The article titled 'How We Cut LLM Cost with Prompt Caching' discusses the increasing costs associated with using large language models (LLM) in daily tasks. Given the expensive nature of these models, the team decided to implement an innovative solution aimed at optimizing their processes. The core idea revolves around the introduction of a prompt caching strategy that allows storing results for frequently asked questions, significantly reducing operational costs. The authors explain how the implementation of caching affected performance in terms of both response time and cost, while maintaining high-quality results. Additionally, the article includes practical examples of caching applications, which can serve as inspiration for other developers and project managers seeking effective solutions when utilizing LLM in their projects.