Inference costs refer to the computational resources required to run a trained AI model on new data, generating predictions or outputs. It is used in deploying machine learning systems, impacting speed and scalability. Businesses and developers benefit by optimizing budgets and latency, especially in real-time applications like chatbots or recommendation engines.
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