Token optimization refines how a language model processes input, reducing computational costs and latency while improving response quality. It involves trimming unnecessary words, rephrasing prompts, or using efficient encoding. Developers, AI researchers, and businesses deploying chatbots benefit by saving money, speeding up interactions, and maintaining accuracy in high-volume applications.
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