Salesforce claims that its AI models can learn and adapt in real-time based on business outcomes, a feature that sets it apart from many other LLMs. Benioff said the next evolution beyond traditional large language models (LLMs) is to what he terms "large action models." It moves from systems that primarily understand and generate language to those that can take concrete actions in business environments. A live demo with Saks' autonomous agent "Sophie" at a customer call centre saw human-like conversation flow, apparel size suggestions made based on Sophie's access to the customer history and then switch the call instantly to a human customer service representative when questions around faster delivery fell outside the scope. "So the large action models, essentially, are models which are trained to perform actions in the real world," Benioff said. Clara Shih, CEO of Salesforce AI backed the case.