An inference token update refers to the process of refreshing or adjusting the digital tokens used during an AI model's text-generation phase. It ensures accurate, real-time responses by managing context or usage limits. Developers and API users benefit from optimized performance, reduced latency, and precise billing. This update is critical for scaling AI applications, maintaining conversational coherence, and controlling operational costs efficiently.
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