Deep Learning Models

Multimodal AI refers to systems or models that can process and integrate data from multiple sources or modalities, such as text, images, video, audio, and other sensory data, to produce more accurate and comprehensive outputs. Unlike traditional AI systems that focus on one modality (e.g., text or images), multimodal AI combines different data types to improve understanding and decision-making. How It Works: Multimodal AI systems combine information from various modalities (e.g., visual data + textual data) to process inputs. This can involve: Text: Natural language processing (NLP) to understand meaning. Images/Video: Computer vision techniques to analyze visual data. Audio: Speech [...]