Inference tokens measure the computational work an AI model performs to generate a response. Each token represents a word fragment or symbol processed during a query, directly influencing latency and cost. Developers and businesses using large language models benefit by optimizing resource allocation, estimating API expenses, and fine-tuning performance for efficient, scalable AI applications.
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