During the training phase, the [[machine learning model]] learns from the [[dataset|data]] by adjusting its internal parameters to minimize the difference between its predictions and the actual outcomes in the training data. [[label]] < [[Hands-on LLMs]]/[[1 Machine Learning Basics]] > [[validation]]