The Technology Behind Marsh Wall AI's Generative Models

What exactly is generative AI, and how can it be applied to solve the challenges of property valuation? Let's explain.

In simple terms, generative AI refers to artificial intelligence systems that can generate new content – whether text, images, or other data – that resembles the training data they were built on. The most prominent examples today are large language models (LLMs) like GPT-4 that can write human-like text, and image models like DALL-E that can create visuals from textual descriptions.

Marsh Wall AI is working to develop generative models specifically trained on real estate data. By feeding these models huge datasets of property attributes, sales histories, market trends, and more, the company aims to create AI systems that deeply understand the dynamics of property valuation. The idea is that you could input the address and characteristics of any property, and the model would output an accurate valuation estimate, just like a human appraiser would but near-instantaneously.

Realizing this is easier said than done, of course. Real estate data is notoriously messy and inconsistent, and valuation is a complex task that involves weighing many interrelated factors. Therein lies the challenge – and the opportunity. By developing novel techniques for data cleaning, feature engineering, and model architecture specifically suited to the real estate domain, Marsh Wall AI believes it can create best-in-class AI that performs accurate, reliable valuations.

The road ahead is challenging but filled with potential. With cutting-edge data science and a deep understanding of the real estate industry, Marsh Wall AI aims to bring real estate valuation into the era of big data and artificial intelligence. The future is bright – stay tuned for more updates from their journey.