Forbes January 13, 2025
Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models.
LDMs complement LLMs by capitalizing on the world’s other main data source: enterprise databases. Rather than tapping the great wealth of human writing such as books, documents and the web itself—as LLMs do—LDMs tap a company’s tabular data.
LDMs don’t power chatbots—instead of training on human language, they train on data records and transaction logs. So what capabilities do LDMs offer? Here’s an overview, as well as a specific example where LDMs power a predictive AI project at Swiss Mobiliar, Switzerland’s oldest private insurance company.
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