1 day ago · What multimodal AI is and how it works Multimodal AI is emerging as part of the fast-moving world of AI technology, bringing together multiple types and modalities of data to build a model that’s …

What is multimodal AI? Multimodal AI refers to machine learning models capable of processing and integrating information from multiple modalities or types of data. These modalities can include text, …

Multimodal learning is a type of deep learning that integrates and processes multiple types of data, referred to as modalities, such as text, audio, images, or video.

Multimodal AI expands on these generative capabilities, processing information from multiple modalities, including images, videos, and text. Multimodality can be thought of as giving AI the...

Jun 10, 2025 · Multimodal AI is a type of artificial intelligence that can understand and process different types of information, such as text, images, audio, and video, all at the same time.

A multimodal agent may do this in multiple ways: through speech and intonation, facial expression and gaze, gesture, body movements and posture.

Jan 6, 2026 · Discover what multimodal learning is, its benefits for engagement and retention, and practical ways teachers can implement it effectively.

Jan 9, 2026 · Discover how multi-modal AI combines text, images, audio, and video to boost accuracy, improve decisions, and drive real enterprise adoption at scale.

Dec 5, 2016 · The meaning of MULTIMODAL is having or involving several modes, modalities, or maxima. How to use multimodal in a sentence.

Nov 3, 2024 · Among others, Meta AI released their latest Llama 3.2 models, which include open-weight versions for the 1B and 3B large language models and two multimodal models. In this article, I aim to …