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Encord unveils EBind method with world’s largest open multimodal dataset
Encord launched EBind and a large open multimodal dataset enabling powerful AI model training on a single GPU.
Encord released a large open multimodal dataset alongside EBind, a training method that allows multimodal AI models to train on a single GPU within hours instead of days. The dataset spans text, images, audio, video, and 3D point clouds. Encord says the method matches performance of models up to 17 times larger by prioritizing data quality and parameter efficiency for startups and research teams globally