What is Multimodal CoT Prompting?

Multimodal CoT (Chain-of-Thoughts) Prompting is one of the well-known prompting techniques used to interact with artificial intelligence models.

• Prompt Type: Reasoning-Based
• Definition: The AI reasons step-by-step using both text and images to solve a problem.
• Typical Use Case: Tasks involving visual data, like analyzing images or diagrams alongside text.
• Advantages: Handles visual and textual data together; improves accuracy for multimodal tasks.
• Disadvantages: Requires image input; may be complex to set up.
• Implementation Tips: Provide clear instructions on how to use the image (e.g., “extract prices from the image”) alongside text.
• Skill Level Required: Advanced – Requires ability to provide and describe image inputs alongside text prompts.

Examples:

1. “Using a photo of a grocery receipt, calculate the total cost of milk and bread step-by-step.”
2. “Given an image of a math equation, solve it step-by-step with explanations.”
3. “Using a picture of a menu, determine the cost of a meal with a drink and dessert.”