Fusion of Abstract Learning and Context-Optimized Neural-methods

The goal of this effort is to combine advanced machine learning (ML) methods that can be computationally efficient in structured data with large language models (LLM) that are general and can extract context from data. The aim is to derive powerful and efficient technology for interactive statistical analysis of large-scale data seen such as in enterprise or battlefield. | Acronym: FALCON | Tech Office: Information Processing Techniques | Topic #: DPA26BZ03-DV016 | Announcement: STTR