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CM3leon by Meta

Showcasing versatile foundation model for text and image generation.

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Meta AI is a website that showcases a versatile foundation model called CM3leon for text and image generation. This model is a state-of-the-art generative AI model that has been trained with a recipe that includes a retrieval-augmented pre-training stage and a multitask supervised fine-tuning stage. It achieves impressive performance in both text-to-image and image-to-text generation tasks.

CM3leon is the first multimodal model that can generate sequences of text and images conditioned on arbitrary sequences of other image and text content. This expands the functionality of previous models that were limited to either text-to-image or image-to-text generation. The model has been trained with five times less compute than previous transformer-based methods, demonstrating its efficiency.

The website provides various examples of CM3leon's capabilities, including text-guided image generation and editing, text-to-image generation, text-guided image editing, and text tasks. The model performs well across a variety of vision-language tasks, such as image caption generation, visual question answering, and conditional image generation. It can generate complex compositional objects and produce coherent imagery that accurately follows input prompts.

CM3leon's performance has been evaluated on popular benchmarks and has achieved state-of-the-art results, surpassing Google's text-to-image model. The model also performs well in tasks such as super-resolution, structure-guided image editing, object-to-image generation, and segmentation-to-image generation.

The website highlights the architecture and training process of CM3leon, emphasizing its ability to handle both text and images. It also discusses the importance of transparency in generative AI models and the need to address biases in training data.

Overall, Meta AI's website serves as a platform to showcase CM3leon's capabilities, highlight its strong performance, and promote transparency and collaboration in the field of generative AI. The website also provides resources for further reading and offers a newsletter subscription to stay updated with Meta AI's news and research breakthroughs.

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