Multimodal Model
A multimodal model is an AI system that can process and often generate more than one type of data — such as text, images, audio, or video — within a single unified model, rather than being restricted to one input or output format.
6 resources across 1 library
Glossary Terms(6)
Multimodal Model
A multimodal model is an AI system that can process and often generate more than one type of data — such as text, images, audio, or video — within a single uni…
Text-to-Speech Model
A text-to-speech (TTS) model converts written text into natural-sounding spoken audio, synthesizing voice output that can vary in tone, pace, accent, and emoti…
Speech-to-Text Model
A speech-to-text (STT) model, also called automatic speech recognition (ASR), converts spoken audio into written text, transcribing what was said so it can be…
World Model
A world model is an internal, learned representation an AI system builds of how its environment behaves — predicting how the world will change in response to a…
Vision-Language Model (VLM)
A Vision-Language Model (VLM) is an AI model trained to jointly understand images and text, enabling tasks such as describing an image in words, answering ques…
Nova (Amazon)
Amazon Nova is a family of first-party foundation models introduced by AWS in late 2024, available through Amazon Bedrock, spanning text, multimodal understand…