What's generative AI?

Generative AI features use LLMs to create content, including text, images, videos, and even code.

Some common applications for text are assisted authoring, summarizing documents, and providing suggestions. For example, you can generate the reply for an email, and then review or edit the same before sending the reply.

Generative AI also includes various types of agents, which work together to help you create and interact with content in a dynamic and responsive way.

Type of agent	Description	Example
Language-based	Interacts with you using human languages.	Chatbots and virtual assistants.
Context-aware	Always on, sensing and reacting to data from your environment, even as the data changes.	If a user in your organization asks about their compensation and benefits data, the agent can pull the relevant details directly from your organization's database.
Action-taking	Takes action automatically, with you guiding and approving in key moments.	If you request a vacation booking, the agent might suggest possible vacation dates based on your calendar, find the hotels with vacancy, and create a booking with your approval.
Autonomous	Works independently over long time horizons to achieve goals you set, by planning, reasoning, taking action and validating results in a continuous loop.	In a supply chain function, agents might monitor inventory levels, orders, forecasts, pricing, and supplier delivery performance, deciding to onboard a second source to meet a projected increase in demand.