How To Build Autonomous Agents –
There are lots of numbers being thrown around about the potential of generative AI (GenAI). From trillions of dollars added to the global economy, to significant percentages of work being driven by GenAI, the big picture looks great. But turning this potential into reality is where the hard work starts.
Autonomous agents are software programs that carry out work on behalf of a user. At the simplest level, an autonomous agent leverages one or more large language models (LLMs) and wraps other belgium whatsapp number data services together with a text interface that can perform tasks like summarizing documents. The fact that LLMs can mimic how people think unlocks new possibilities for work that would have been difficult or impossible to implement in the past.
The Goal for Autonomous Agents
While LLMs are great at responding to user requests, they are not enough on their own to build GenAI services that differentiate a company from competitors. The real differentiation comes from domain expertise, insight into customer needs, and the ability to craft superior end user experiences. The companies that thrive as leaders in an era of commodity LLMs will be those that understand how to build engaging autonomous agents that effectively empower customers or employees.