arxiv preprint – Chameleon: Mixed-Modal Early-Fusion Foundation Models

In this episode, we discuss Chameleon: Mixed-Modal Early-Fusion Foundation Models by Chameleon Team. The paper introduces Chameleon, a family of models designed for seamless understanding and generating both images and text in any sequence. It achieves state-of-the-art performance in several tasks, including image captioning and text generation, and demonstrates competence in mixed-modal outputs. Notably, Chameleon is competitive with or superior to larger models like Gemini Pro and GPT-4V in various evaluations, highlighting its significance in multimodal document processing.