4 Techniques to Optimize Your LLM Prompts for Cost, Latency and Performance

Four techniques can optimize Large Language Model (LLM) prompts for better cost, latency, and performance. Placing static content early in a prompt leverages cached tokens from providers like OpenAI and Anthropic, significantly reducing cost and processing time. Performance is also improved by putting the user's question at the very end of the prompt and using dedicated prompt optimizers to refine structure and remove redundancy. Finally, creating custom benchmarks to evaluate different LLMs on a specific task ensures the best model is chosen for the application.