Multimodal AI is a type of artificial intelligence that can understand and process more than one kind of input, such as text, images, audio, and video, at the same time. It's like giving AI more ...

An example of GPT-4 with vision analyzing — and extracting text from — a particular image. Image Credits: Alyssa Hwang A related challenge for GPT-4 with vision is summarizing.

The Llama 3.2-Vision collection of multi-modal large language models is a collection of pre-trained and instruction-tuned image reasoning generative models in 11B and 90B sizes (text and images in ...

Phi-4-multimodal is a 5.6 billion parameter model that uses the mixture-of-LoRAs technique to process speech, vision, and language simultaneously. LoRAs or Low-Rank Adaptations, is a way of ...

The added multi-modal input feature will generate text outputs — whether that's natural language, programming code, or what have you — based on a wide variety of mixed text and image inputs.

The new model is based on Mistral’s Nemo 12B, an AI model previously released by the company capable of understanding text, with the addition of a 400 million-parameter vision adapter.