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Turns out, ensembling LLMs for diversity isn't about picking the biggest model, but routing each prompt to the *right* model.
Style-controllable speech synthesis just got a major upgrade: ParaSpeechCLAP lets you dial in nuanced speaker traits and situational contexts far beyond what existing models can handle.
Synthetic benchmarks can't catch the nuances of personalized deep research, as real users revealed nine critical errors that LLM judges missed entirely.
