Foundation Models
Abstract
Foundation models are the bedrock of modern machine learning development. These machine learning models train on vast amounts of data and capture patterns that generalize beyond their training set. This enables the quick development of accurate models across a wide range of tasks and domains through techniques such as few-shot learning and transfer learning. This research seeks to further develop foundation models of various modalities such as language, vision, and segmentation to provide tools and capabilities that extend to solve many problems, including ones that have not yet been identified. These models will include but are not limited to generative methods. Additionally, this research extends to advanced techniques for more effectively adapting existing foundation models (such as those for language, vision, and segmentation) to other domains applicable to the Army. This unlocks more capabilities in both internally developed models as well as the growing set of public and proprietary foundation models developed elsewhere.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2025
- Source ID
- c7fd229eb72b3d91fa298d27645666a3