👉 The taught fluid, also known as the teacher's normal distribution, is a statistical model used in machine learning to estimate the true underlying distribution of data that a model has been trained on. It represents the expected distribution of data points around the predicted values, capturing the variability and uncertainty inherent in the training process. This distribution is typically used to calculate confidence intervals, which provide a range within which the true values are likely to fall, and to assess the reliability of model predictions. By understanding the taught fluid, practitioners can better interpret model outputs, make more informed decisions, and improve the robustness of their machine learning systems.
