What exactly are the "parameters" in GPT-3's 175 billion parameters and how are they chosen/generated?
Why don't OpenAI train a deep learning model to identify correct and incorrect information in ChatGPT's responses?
Is it realistic to train a transformer-based model (e.g. GPT) in a self-supervised way directly on the Mel spectrogram?
How does transformer models like GPT generate valid meaningful response for meaningless garbage input?
Process 2TB worth of conversational data hoarded over 40 years. How can I pass this into GPT to ask questions about it?
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