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          Predefined Prompt Templates for Einstein Knowledge Creation for IT Services

          Predefined Prompt Templates for Einstein Knowledge Creation for IT Services

          Default prompt templates for Knowledge Creation help your IT teams draft contextual knowledge articles swiftly and consistently. The templates define how a large language model (LLM) generates content by specifying the article's structure, instructions, and source data.

          Required Editions

          Available in: Lightning Experience
          Available in: Enterprise, and Unlimited Editions with Agentforce IT Service.

          The prompt templates contain these components to guide the LLM's response and ensure the generated articles are accurate and relevant.

          Component What It Determines
          Knowledge Fields The specific fields on the knowledge article where the LLM's generated content is populated, such as title, summary, issue, workaround, root cause, and resolution.
          Prompt Instructions These instructions guide the LLM on how to generate content for each field, ensuring the output is concise and avoids inaccuracies.
          Grounding Fields This section specifies which fields from the service record (the grounding data) are used by the LLM to create the content for the knowledge article.

          The prompt templates are completely customizable, giving you the ability to modify any part of the template to align with your organization's specific needs.

          By default, the prompt template uses custom fields on the Knowledge object we asked you to create in Create Custom Fields on Knowledge Articles for IT Services. If you have set up different fields, you can modify the prompt templates accordingly. See Modify Existing Knowledge Creation Prompt Templates for IT Services.

          For the LLM’s responses to be visible, you also need to add the custom fields to the page layout for the knowledge article type. See Create Page Layouts for Different IT Service Knowledge Articles.

           
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