This combination of reasoning, logic, and access to external information that are all connected to a Generative AI model invokes the concept of an agent.
In its most fundamental form, a Generative AI agent can be defined as an application that
attempts to achieve a goal by observing the world and acting upon it using the tools that it
has at its disposal. Agents are autonomous and can act independently of human intervention,
especially when provided with proper goals or objectives they are meant to achieve. Agents
can also be proactive in their approach to reaching their goals. Even in the absence of
explicit instruction sets from a human, an agent can reason about what it should do next to
achieve its ultimate goal. While the notion of agents in AI is quite general and powerful, this
whitepaper focuses on the specific types of agents that Generative AI models are capable of
building at the time of publication.
SOURCE: GOOGLE
Atoms and Bits 