Language Models have been around for a while, but it’s only since ChatGPT’s release that Large Language Models have really captured the public’s imagination. How did Large Language Models come to be, how do they work, and with the emergence of industry-specific language models, what does the future hold?

AI can help real estate owners and operators manage their properties more efficiently, but what does this AI revolution mean for onsite staff and community managers?

Travtus CEO Tripty Arya talks to Mike Consol about our “Everything Teammate” Adam, and how Adam’s industry knowledge can boost apartment operations and financial performance.

It's hard to ignore the buzz around OpenAI's newest release, ChatGPT, the latest development in the GPT series of super large language models. It’s being hyped by some as a huge labor-saving tool. But how can this technology be leveraged to benefit real estate owners and operators?

Once again, the NHMC’s annual gathering at OPTECH provided insight into the real estate industry. With a long list of housing providers, suppliers and startups attending, the schedule was - as always - comprehensive, covering topics as wide-ranging as AI, centralization, automation and resident experience.

During the COVID-19 pandemic, Travtus approach was used to identify trends in operations, services, and customer needs. Adam helped the team at Stuytown gather live intelligence and quickly react to the new expectations of residents.

Cortland uses Travtus products and labs to build a resident-first centralized platform which is designed to improve visibility into onsite operations and resident needs.

CBRE asked Tripty Arya of Travtus, about the potential impact of Artificial Intelligence, alongside the complexity of implementing it in the commercial real estate world

Resident support should not be treated as the unwanted consequence of having a client. It is a window into an opportunity to be better and gain a competitive advantage.

On average, the industry seed 35 emails per 100 units every month from customers needing support. The onsite teams at our properties are often dealing with email overload.