Prompts

The Prompts section of the Workspace within IntraLLM AI enables users to create, manage, and share custom prompts. This feature streamlines interactions with AI models by allowing users to save frequently used prompts and easily access them through slash commands.

Prompt Management

The Prompts interface provides several key features for managing your custom prompts:

  • Create: Design new prompts with customizable titles, access levels, and content.
  • Share: Share prompts with other users based on configured access permissions.
  • Access Control: Set visibility and usage permissions for each prompt (refer to Permissions for more details).
  • Slash Commands: Quickly access prompts using custom slash commands during chat sessions.

Best Practices

  • Use clear, descriptive titles for your prompts
  • Create intuitive slash commands that reflect the prompt's purpose
  • Document any specific requirements or expected inputs in the prompt description
  • Test prompts with different variable combinations to ensure they work as intended
  • Consider access levels carefully when sharing prompts with other users - public sharing means that it will appear automatically for all users when they hit / in a chat, so you want to avoid creating too many.

Model Switching

Example: Switching between Mistral, LLaVA, and GPT-3.5 in a Multi-Stage Task

  • Scenario: A multi-stage conversation involves different task types, such as starting with a simple FAQ, interpreting an image, and then generating a creative response.

  • Reason for Switching: The user can leverage each model's specific strengths for each stage:

    • Mistral for general questions to reduce computation time and costs.
    • LLaVA for visual tasks to gain insights from image-based data.
    • GPT-3.5 for generating more sophisticated and nuanced language output.

Process: The user switches between models, depending on the task type, to maximize efficiency and response quality.

How To:

  1. Select the Model: Within the chat interface, select the desired models from the model switcher dropdown. You can select up to two models simultaneously, and both responses will be generated. You can then navigate between them by using the back and forth arrows.
  2. Context Preservation: IntraLLM AI retains the conversation context across model switches, allowing smooth transitions.