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M* achieves up to 2.9x lower real-time factor and 2.7x higher throughput for text-to-speech tasks, revolutionizing how we serve complex multimodal AI models.
Instant AI assistants are now feasible on smartwatches: 8M-parameter models can kickstart responses locally, hiding cloud latency with surprisingly high quality.
Learning robotic reward functions from a million trajectories reveals that comparing entire trajectories, not just individual frames, unlocks better generalization and learning from suboptimal data.
