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GPT achieves strong performance on many NLP datasets, including translation, question answering, and cloze tasks, as well as several tasks that require on the fly reasoning or domain adaptation, .
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The dataset our GPT models were trained on contains many texts with biases and factual inaccuracies, and thus GPT models are likely to be biased and inaccurate as well. To avoid having .
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Min voice data can also be used to train a good TTS model! few svoice cloning RVC Boss GPT SoVITS.
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