Google has unveiled a whitepaper on generative AI agents, marking a significant development in the field of Artificial Intelligence (AI). The whitepaper explores the foundational components and implementations of AI agent systems, including the model layer, orchestration layer, and tools layer.
These AI agents are designed to go beyond traditional language models, taking actions on behalf of users to make them more productive. Google has identified six categories of AI agents: employee agents, code agents, data agents, creative agents, security agents, and customer service agents.
The whitepaper provides a comprehensive analysis of the three core components that enable AI agents to interact with external systems. The model layer serves as the central decision-making unit, utilizing one or multiple language models of varying sizes. The orchestration layer governs the agent's cognitive processes, managing how it takes in information, performs reasoning, and determines its next actions. The tools layer enables the agent to interact with external systems and data sources.
Google has also announced new generative AI innovations for customer engagement and Gemini in Workspace. The new Customer Engagement Suite in Contact Center AI provides customers with access to a range of AI agents that can assist customer support agents and automate some of their tasks.
