Why ChatGPT Works: Trained on Code & Fine-Tuned with Human-Labeled Data

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This article is a summary of a YouTube video "OpenAI doesn't know why ChatGPT works" by Enterprise Management 360
TLDR ChatGPT is trained on programming code and fine-tuned with human-labeled data to improve its responses and align them with human thinking and dialogue.

Timestamped Summary

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    ChatGPT is trained on programming code, which helps it reason and stitch together sentences, but we still don't fully understand why it works so well.
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    ChatGPT is trained on code and additional data, then fine-tuned with human-labeled data to align its responses with human thinking and dialogue.

Q&A

  • 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.

Play video
This article is a summary of a YouTube video "OpenAI doesn't know why ChatGPT works" by Enterprise Management 360
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