Why Care About Prompt Caching in LLMs?

Prompt caching emerges as a significant technique to reduce both the cost and latency associated with large language model (LLM) calls. By storing and reusing prompts and their corresponding responses, organizations can minimize redundant computations, leading to more efficient deployment of LLMs in production environments. This approach enhances scalability and responsiveness, making large-scale language models more practical for real-time applications.