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Multimodal prompting

As explained in Introduction to Generative AI, Second Edition

Multimodal prompting is the construction of model inputs that combine multiple data modalities, such as text, images, audio, or video.

Multimodal prompting combines text with images, charts, diagrams, audio, video, or sensor data in one model input. It extends prompt engineering beyond text-only instructions as systems support broader task workflows. section 7.6

Analyzing a chart

A user submits a chart and asks the model to analyze the figure and summarize its key trends. GPT-4o and Gemini are identified as systems that support combining text with visual inputs. section 7.6

The practice is becoming standard in some systems, while video, audio, and sensor data are being incorporated more systematically into task workflows. section 7.6

How Introduction to Generative AI, Second Edition covers it

How deep it goes
Defines combined-modality inputs and illustrates chart analysis, without describing implementation details.
Examples
Uses chart analysis and combinations of text, images, charts, and diagrams as concrete examples.
What you can do after
Apply it via GPT-4o or Gemini by combining textual instructions with visual inputs.
How it connects
Connects prompt engineering with adaptive prompting and AI-assisted prompt design tools.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Introduction to Generative AI, Second Edition. The section links point to the parts of the book it draws on.