Phased rollout

This version is currently available to SaaS customers only. It will be available to on-premises customers soon.

Best practices for BMC HelixGPT


We recommend that you review best practices for the BMC HelixGPT product prior to implementing the product or a feature.

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Best practices for generating prompts

Use the following best practices for generating prompts in BMC HelixGPT:

  • Limit the topics for your domain. For example, create prompts specific to the IT or HR domain.
  • Use a friendly, helpful, and formal tone of response.
  • Prompt HelixGPT to ask for a confirmation when information is asked for entities, such as name, date, and location in long prompts.
  • Display the knowledge article summaries as paragraphs, bullet points, or numbered lists.
  • Use headlines or sections for long answers.
  • Do not create jokes.


Best practices for using the prompts automatically generated from catalog services

Use the following best practices to use the automatically generated prompts in BMC HelixGPT:

  • A generated prompt works best when you use the GPT-4 Turbo (gpt-4-0125-preview) model.
    For more information about the supported models and the default model configuration values, see Models-in-BMC-HelixGPT.
  • Create a new skill in HelixGPT to import the automatically generated prompts.
  • Copy the instructions of an existing router prompt. Create a new router prompt for the new skill, and reuse the copied instructions for the new router prompt.
  • A generated prompt works best if you use the model that supports JSON response.


Best practices for exporting and importing skill settings

Best practices

  • When importing a service through the Publish Chat-enabled Service wizard, make sure that you use clear, concise, and unambiguous labels.
  • To achieve the best response from the LLM, use a meaningful service name and description.



 

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