Foundation Models
Foundation Models (FMs) are large deep learning neural networks that are trained on large amounts of data. They are also know as “general purpose ai” or “GPAI” since they are designed to be general-purpose and serve as the starting point for future AI development. Foundation vs Traditional Models Common forms of foundation models include large language models (LLMs) or generative AI models. FMs differ from traditional ML models or “Narrow AI models” in that they are pretrained on a wide range of tasks and data, allowing them to perform a variety of tasks unlike the specialized models of the past....