Large Language Model (LLM)

An advanced AI designed to understand and generate human-like text based on massive datasets.

Putting LLM in Context

In CRE, LLMs are used to draft detailed investment summaries, such as quarterly asset management reports, based on raw data exports from various systems like ARGUS and Yardi.


Frequently Asked Questions about Large Language Models (LLMs) in Commercial Real Estate (CRE)

A Large Language Model (LLM) is an advanced AI designed to understand and generate human-like text based on massive datasets.

In CRE, LLMs are used to draft detailed investment summaries—such as quarterly asset management reports—based on raw data exports from systems like ARGUS and Yardi.

LLMs can generate investment summaries, asset management reports, offering memorandums, lease abstracts, and even financial commentary based on underlying data sets.

LLMs in CRE often work with data from ARGUS (financial modeling) and Yardi (property management and accounting) systems to produce human-readable insights and reports.

LLMs reduce time spent on repetitive writing tasks, improve accuracy in financial summaries, and allow asset managers to focus on analysis and strategy instead of formatting reports.



Click here to get this CRE Glossary in an eBook (PDF) format.