Multimodal input lets a model combine language instructions with visual, audio or other signals. A local workspace may use one model for chat, image understanding and audio tasks when its architecture and runtime support those formats.
Support varies by model and modality. Users should evaluate each workflow separately because strong text generation does not guarantee accurate transcription or visual understanding.
ELI5
A multimodal model can work with more than one kind of information, such as text and images. This lets the model connect a written instruction with something visual, spoken, or recorded in another supported format.
For example, a user can upload a screenshot and ask why a button is difficult to read. A multimodal model can inspect the image, combine it with the question, and discuss visible contrast or layout problems.
Which data types can a multimodal model handle?
Depending on the model, it may handle text, images, audio, video, documents or other structured signals.
Does multimodal support guarantee equal quality across modes?
No. Training and architecture can make capability much stronger for some input types and tasks than others.
