Multimodal Models
Breaks down how models that read images, tables, audio and video at once actually work, and where they help in screenshot debugging, document understanding and visual Q&A.
Multimodal models handle text, images, audio and video inside one reasoning pass instead of forcing images or speech into text first. By linking inputs from different sources, they shine at screenshot debugging, table recognition, contract-page understanding and product-image analysis, with VLM as the branch focused on vision plus language. The limits show in complex chart reasoning, long-video timelines and cases needing exact numbers, where human review still matters.
