AWS Certified AI Practitioner AIF-C01 Practice Question

Multimodal models are trained to handle two or more data modalities, so they can ingest and/or produce different kinds of content-commonly text, images, audio, or video. In contrast, a text-only LLM is limited to processing sequences of text tokens. The ability to generate or understand multiple data types is therefore the defining characteristic. Relying solely on text tokenization, requiring fully labeled data, or restricting output to vector embeddings describes attributes that are not unique to multimodal models and may apply to many other model classes.