Abstract: Embodiments of the present invention provide a system for analyzing multi-level inputs to generate metrics associated with entity resources by fine-tuning Large Learning Models (LLMs). The system is configured to extract resource data associated with entity resources of an entity from one or more data sources, pre-process the resource data before transmitting the data to a Large Learning Model, extract entity data associated with the entity, dynamically fine-tune the Large Learning Models based on the entity data, transmit the pre-processed resource data to the fine-tuned Large Learning Models, generate one or more resource metrics associated with the entity resources, via the fine-tuned Large Learning Models, and display the one or more resource metrics associated with the entity resources, via a graphical user interface.