Select a multimodal model: Which distinction matters most? | AIGP
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Select a multimodal model: Which distinction matters most?

AIGP Understanding How to Govern AI Deployment and Use Hard

The workflow requires multimodal input; image handling and reliability must then be assessed rather than assumed from model size or retrieval.

The question

A research office wants an assistant to answer policy questions and inspect photographed laboratory forms. Text-only answers are insufficient because the forms contain handwritten fields and diagrams. Network access is available, but privacy controls require documented handling of uploaded images. Which distinction matters most?

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  1. Select a larger language model because size guarantees diagram interpretation.
    Model size does not guarantee visual capability, accurate extraction, privacy protection, or reliable answers from diagrams.
  2. Select a text-only model and transcribe every image manually.
    Manual transcription may enable text processing, but it adds workload and transcription error while failing to use the required image capability directly.
  3. Select a multimodal model, then assess image handling and output reliability.
    Multimodal capability addresses the form requirement, while privacy, extraction accuracy, and answer reliability still require contextual assessment.
  4. Select retrieval augmentation because retrieved text supplies missing visual inputs.
    Retrieval can add external context but cannot substitute for interpreting handwritten fields and diagrams absent an image-capable input path.
The trap
Identify the information type the system must process before comparing model architecture or retrieval features.

How to remember it

The workflow requires multimodal input; image handling and reliability must then be assessed rather than assumed from model size or retrieval.

How many of these would you get right?

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More Understanding How to Govern AI Deployment and Use questions

Part of the Certsqill AIGP question bank · Understanding How to Govern AI Deployment and Use · Every answer, right and wrong, comes with its own explanation.