Multimodal Chain-of-Thought (CoT)

Sections: What It Is • Examples • Challenges • When to Use • Effectiveness • Example Snippet • Simple Explanation

What It Is Extending chain-of-thought to work across multiple modalities—text, images, audio—to leverage richer context.

Examples

• Identify objects in an image then reason about their interactions
• Analyze audio clips for sentiment and summarize findings

Challenges

• Aligning representations across modalities
• Increased computational cost

When to Use

• Projects combining text, image, or audio reasoning
• Advanced AI applications with rich media inputs

Effectiveness

• Captures richer context than text-only
• Enables cross-modal insights

Example Snippet

"Image: Diagram of the solar system.
Prompt: 'Identify each planet and describe why Pluto is excluded from the list of major planets.'"

Simple Explanation

Multimodal CoT means guiding the model to think step by step using different types of inputs like images and audio.