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Voice Memory cuts speech recognition error rates by over 10% in noisy environments while ensuring the learned model remains auditable and portable.
Multimodal models can now achieve state-of-the-art performance in real-world tasks like document understanding and audio-video comprehension with significantly reduced inference latency thanks to novel token-reduction techniques.
