Foundation Model Education 1 article

Foundation models can support multiple downstream applications, but their broad training objectives do not establish suitability for every task. Pretraining, fine-tuning, transfer learning, model size, and general-purpose representations provide the technical foundation. Instruction also considers limitations inherited from training data and the difference between a base model and an application using it. The relationship between a pretrained model, an adapted version, and a deployed application helps explain where capabilities and limitations originate.