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Task-Agnostic Pretraining enables VLA models to achieve expert-level performance with orders of magnitude less labeled data, revolutionizing the scalability of embodied AI.
A purely Transformer-based audio tokenizer, pre-trained on 3M hours of data, leapfrogs existing codecs and even enables a fully autoregressive TTS model to outperform cascaded systems.
Open-source MOVA lets you generate synchronized, high-quality video and audio—including realistic lip sync—without relying on closed-source systems.
