AI Model Training is the process of teaching an artificial intelligence system to perform a task by exposing it to large amounts of data and adjusting its internal parameters until it produces accurate or high-quality outputs. It is the foundational process behind every AI image generator, video model, and creative AI tool available today.

During training, the model processes thousands or millions of examples, such as image-text pairs, and gradually learns to recognise patterns, associations, and structures within that data. The training process uses algorithms that measure how far the model's outputs are from the desired results and continuously adjust the model's weights to reduce that error over time.

In creative AI tools, model training determines everything from image quality and style range to how well a model follows text prompts. Many platforms, including Morphic, also offer custom model training, where users can train AI on their own images to generate consistent characters, specific art styles, or branded visual content. Understanding model training helps creators make better use of AI tools and set realistic expectations for output quality.