5 Ways to Optimize Costs and Latency in LLM-Powered Applications
TLDR
LLM costs and latency are critical challenges for production AI applications. This guide presents five proven optimization strategies: (1) intelligent model routing to match query complexity with appropriate models, (2) prompt optimization for token efficiency, (3) semantic caching to reuse similar responses, (4) streaming responses to reduce perceived latency,
