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Inference: Difference between revisions
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(Created page with "{{see also|Machine learning terms}} ===Definition of Inference in Machine Learning== Machine learning refers to the process of inference, or making predictions or decisions based on data and a trained model. The goal is for the model to generate outputs as accurate as possible given its input data, then use these outputs to make decisions or predictions about new, unseen data. ==Types of Inference in Machine Learning== In machine learning, there are two primary forms of...") |
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{{see also|Machine learning terms}} | {{see also|Machine learning terms}} | ||
== | ==Introduction== | ||
In [[machine learning]], [[inference]] is when you make [[prediction]]s, decisions or [[generate content]] by applying a [[trained model]] to [[unlabeled example]]s or [[prompts]]. | |||
==Types of Inference in Machine Learning== | ==Types of Inference in Machine Learning== | ||