Static inference: Revision history

18 March 2023

• curprev 13:2913:29, 18 March 2023‎ Walle talk contribs‎ 2,989 bytes +2,989‎ Created page with "{{see also|Machine learning terms}} ==Introduction== Static inference is a technique in machine learning that involves predicting the output of a given input without explicitly training a model on the input data. It is a form of inference that relies on a model's prior knowledge and pre-existing learned representations, rather than adjusting its parameters to fit the data at hand. This approach is particularly useful in situations where the data is sparse, noisy, or..."