How do Multimodal AI models work? Simple explanation

Multimodality is the ability of an AI model to work with different types (or "modalities") of data, like text, audio, and images. Multimodality is what allows for a model like GPT-4 to write code given a diagram, and models like DALL-E 3 to generate an image given a description.

In this video, we'll learn about how multimodality works in AI, and the distinction between multimodal models and multimodal interfaces.

Links:

Intro repository: https://github.com/AssemblyAI-Examples/chatgpt-image-interface
Introduction to Diffusion Models: https://www.assemblyai.com/blog/diffusion-models-for-machine-learning-introduction/
How DALL-E …

ai model ai models audio code dall dall-e dall-e 3 data generate gpt gpt-4 image images multimodal multimodal ai multimodality simple text types video work