Meta Platforms has unveiled its first natively multimodal model, Chameleon, which observers say can make it competitive with frontier model firms. Although Chameleon is not yet released, Meta says internal research indicates it outperforms the company’s own Llama 2 in text-only tasks and “matches or exceeds the performance of much larger models” including Google’s Gemini Pro and OpenAI’s GPT-4V in a mixed-modal generation evaluation “where either the prompt or outputs contain mixed sequences of both images and text.” In addition, Meta calls Chameleon’s image generation “non-trivial,” noting that’s “all in a single model.” Continue reading Meta Advances Multimodal Model Architecture with Chameleon

OpenAI began previewing vision capabilities for GPT-4 in March, and the company is now starting to roll out the image input and output to users of its popular ChatGPT. The multimodal expansion also includes audio functionality, with OpenAI proclaiming late last month that “ChatGPT can now see, hear and speak.” The upgrade vaults GPT-4 into the multimodal category with what OpenAI is apparently calling GPT-4V (for “Vision,” though equally applicable to “Voice”). “We’re rolling out voice and images in ChatGPT to Plus and Enterprise users,” OpenAI announced. Continue reading ChatGPT Goes Multimodal: OpenAI Adds Vision, Voice Ability