How is ChatGPT trained?
— ChatGPT is trained on programming code and then fine-tuned using human-labeled data to improve its responses and make them more aligned with human thinking and dialogue.
What is the purpose of fine-tuning ChatGPT?
— The purpose of fine-tuning ChatGPT is to enhance its responses and align them with human thinking and dialogue, making them more accurate and natural.
Does ChatGPT use human-labeled data?
— Yes, ChatGPT is fine-tuned using human-labeled data to improve its responses and make them more in line with human thinking and dialogue.
What does ChatGPT's training on programming code involve?
— ChatGPT's training involves being exposed to programming code, which helps it understand and generate responses related to programming concepts and queries.
How does fine-tuning improve ChatGPT's responses?
— Fine-tuning helps improve ChatGPT's responses by aligning them with human thinking and dialogue, making them more accurate, natural, and suitable for human interaction.
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