LLM topic blocks

Use this reference to understand the LLM topic blocks capabilities, supported request types, constraints, and key considerations when deploying conversational catalog requests.

• Catalog Conversational Coverage
  ServiceNow® Catalog Conversational Coverage provides a dashboard to view a high-level overview of the conversational and non-conversational catalog items.
• Guidelines for slot filling in catalog request
  Now Assist in Conversational Catalog Request uses a large language model (LLM) to extract variable values from a requester's input and pre-fill catalog item questions, a capability known as slot filling.
• Prefill in conversational catalog request
  The generalized prefill capability for conversational catalog request automatically populates catalog item form fields using data sourced from the requesting user's profile and from the active chat conversation history. This reduces manual data entry for requesters, improves form completion accuracy, and accelerates time-to-submission for service requests raised through the conversational interface.
• Fulfillers can request catalog items for others
  The experience for fulfillers streamlines the process of making catalog requests on behalf of others. This tailored workflow leverages parent context, such as incidents or cases, to improve efficiency, accuracy, and traceability of requests.
• Topic blocks to request catalog items through conversational experience
  You can design a topic conversation in Virtual Agent powered Now LLM by including reusable topic blocks to perform request submission tasks.