Multimodal CoT

Multimodal Chain of Thought (CoT) Prompting combines text-based prompts with visual inputs to enable AI to reason, generate, or analyze information across different modalities. This approach allows AI to process and generate content that integrates both textual and visual information, enhancing its ability to comprehend and respond to a wide range of tasks that involve both text and images.

Prompt example (text + image)

Describe the main elements of this architectural design.
[Provide an architectural design image]

Output

The architectural design features a modern, minimalist aesthetic with clean lines and large windows, emphasizing natural light and openness. The use of glass and steel materials creates a sleek and contemporary look.

In this example, the AI receives both a text prompt and an architectural design image as input. It then generates a textual response that describes the key elements of the architectural design visible in the image. This illustrates how Multimodal CoT Prompting enables AI to process and generate content that combines text and visual information, facilitating a deeper understanding and richer responses.