To minimize token usage, prompt engineers should prioritize conciseness and directness in their instructions. This involves eliminating redundant phrases and providing all necessary context upfront, preventing the model from generating exploratory text. Utilizing explicit output formats like lists or JSON helps guide the model to produce only the requested information, avoiding descriptive preamble. Furthermore, employing few-shot examples can significantly reduce the need for lengthy textual instructions, showing the desired output instead of explaining it. By focusing on clear, unambiguous commands and cutting unnecessary verbiage, users can effectively optimize prompts for lower token consumption. More details: https://ad.hvacr.cn/go.aspx?url=infok.com.ua