Translation: A foundation model is not built for one specific task. Instead, it is designed to handle many different tasks. It can process images, create video, generate text, or solve mathematical problems. Because it is trained on very large amounts of data, it can adapt to a wide range of uses. With additional time and training, it can also be fine-tuned to perform well on more specialised tasks.