A large-scale machine learning model trained on a vast dataset that can be adapted to a wide range of downstream tasks.
A foundation model is a type of artificial intelligence model, typically a deep learning neural network, that is pre-trained on a massive and diverse corpus of data. This extensive training allows the model to develop a broad understanding of various concepts, language, and patterns, making it highly versatile. The key characteristic is its adaptability; it can be fine-tuned with relatively smaller datasets to perform specific tasks, such as text generation, translation, image recognition, or code completion, without requiring training from scratch for each application.