Reviewed by:
Gary Miller
Training custom models refers to the process of developing machine learning models specifically designed for a particular task or problem. This functionality is useful in various domains, such as natural language processing, computer vision, and predictive analysis, where tailored models can provide more accurate and specific outcomes.