Groundbreaking Multimodal AI Model Emu3 Unifies Generation with Next-Token Prediction!

Emu3, a new Multimodal model developed by Zhiyuan, has made a remarkable achievement by unifying large-scale text, image, and video learning using only next-token prediction, a method previously exclusive to Large Language Models (LLMs). This innovative approach has achieved performances comparable to specialized methods, demonstrating the potential for creating scalable and unified Multimodal intelligent systems.

• •Emu3 uses a single Transformer architecture and next-token prediction to generate and understand multiple modalities.
• •It achieves performance on par with specialized models for image generation and visual language understanding.
• •The model shows potential for future expansion to robotics and multimodal interaction.