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Achieving 80% throughput with Classifier-Free Guidance challenges the assumption that CFG drastically reduces efficiency in multimodal audio processing.
Bagpiper-TTS can seamlessly transform natural language requests into high-quality speech across diverse applications, outperforming traditional TTS systems.
Forget optimizing for just one thing: multi-reward RLAIF dramatically improves both semantic quality and audio naturalness in spoken dialogue systems, where single-reward methods fall flat.