Multimodal AI

The prompt is an unfinished sentence, and the engines complete it the same way: multimodal AI processes and connects text, images, audio and video in one system. Perplexity cites IBM and Google Cloud. ChatGPT, Gemini and Copilot stress unified cross-modal reasoning. No engine names any individual people.

All five engines (Perplexity, Gemini, Google AI Mode, ChatGPT, Copilot) say multimodal AI is AI that processes and combines several data types, such as text, images, audio and video, rather than just one. The options were not supplied, so each gives a definition to match against.

All five engines (Perplexity, Copilot, Gemini, ChatGPT, Google AI Mode) say multimodal models turn each data type into numeric embeddings with specialized encoders, then fuse them so the model can reason across text, images, audio and video. The main reason is that this shared representation lets the model link, say, a word to an image region.