Skip to main content

Multimodal AI

AI concepts

Models that jointly handle more than one modality—commonly text plus images, audio, or documents—so prompts can include screenshots, diagrams, or clips.

Multimodal systems expand context windows with richer inputs: vision for UI screenshots, audio for meetings via speech models, and document PDFs. Costs and failure modes differ from text-only: OCR errors, compression artifacts, and privacy of camera/mic data.

Pipelines

Many products chain specialists (speech-to-text → LLM) instead of one giant model—design for evaluation at each hop.