Audio, Text and Vision Together
Coordinating multiple inputs.
Three Channels, One Context
Coordinating audio, text, and vision means orchestrating three input streams into a single coherent context. Each modality has a different token cost, fidelity profile, and failure mode — yet the model fuses them into one attention space.
- Audio: temporal, ordered, lossy under compression.
- Vision: spatial, tile-budgeted, detail-fragile.
- Text: precise, cheap, but able to override the others.
The art is sequencing them so each reinforces rather than drowns the rest.
Modality Roles, Not Modality Soup
Assign each input an explicit role in the prompt. Ambiguity about which channel is authoritative produces inconsistent answers across runs.
- Vision = ground truth for what is shown.
- Audio transcript = what is said about it.
- Text instruction = the task contract and precedence rules.
State roles up front so the model knows which source wins on conflict.
header = (
'INPUTS: (1) a video frame [authoritative for visible state], '
'(2) an audio transcript [authoritative for spoken intent], '
'(3) this instruction [defines the task]. '
'On conflict, prefer the frame for state and the transcript for intent.'
)All lessons in this course
- Combining Text and Images
- Grounding Across Modalities
- Audio, Text and Vision Together
- Multimodal Output Control