Inference

Inference is the process of using a trained machine learning model to make predictions or decisions based on new, unseen data. In other words, it is the process of applying a model to new data in order to generate predictions or insights. Inference is a critical component of many real-world applications of machine learning, such as image recognition, speech recognition, and natural language processing. In order to perform inference, the trained model must be deployed to a production environment, where it can receive new data and generate predictions in real-time. This often involves optimizing the model for performance and scalability, as well as ensuring that it is secure and reliable.
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