Multimodal AI Engineering

Multimodal AI engineering is building systems that reason over more than text — images, documents, audio, and video — and combine those signals to act. Modern models accept images and PDFs natively, which unlocks document understanding, visual question answering, OCR-free extraction, and screen/UI agents, but it also changes how you design prompts, manage tokens, and ground outputs. This track is about the engineering reality of multimodal pipelines: getting the inputs in cleanly, controlling cost and latency, and validating that the model actually grounded its answer in the pixels rather than hallucinating.