ChatGPT
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Questions and Answers

What is ChatGPT?

  • A generative pretrained transformation model (correct)
  • A supervised learning technique
  • A human coaching system
  • A reinforcement learning technique
  • What is the purpose of human coaching in supervised learning?

  • To assess and rate the model's responses
  • To create a reward model
  • To improve the performance of the model (correct)
  • To produce more realistic results
  • What is the reward model in reinforcement learning?

  • A model that participates in meaningful conversations
  • A model that assesses and rates the model's responses
  • A model created using the ratings of the model's responses from earlier discussions (correct)
  • A model that produces acceptable responses
  • ChatGPT is a generative pretrained transformation model that has been improved on GPT-3.5 by merging supervised learning and reinforcement learning techniques

    <p>True</p> Signup and view all the answers

    In supervised learning, the coach only plays the part of the user in dialogues given to the model

    <p>False</p> Signup and view all the answers

    The reinforcement learning phase involves assessing and rating the model's responses from earlier discussions to create a reward model

    <p>True</p> Signup and view all the answers

    What is ChatGPT?

    <p>ChatGPT is a generative pretrained transformation model that has been improved on GPT-3.5 by merging supervised learning and reinforcement learning techniques.</p> Signup and view all the answers

    What is the role of human coaching in improving ChatGPT's performance?

    <p>Human coaching is incorporated in both supervised and reinforcement learning to improve the model's performance and produce more realistic results.</p> Signup and view all the answers

    What is the reward model in ChatGPT and how is it improved?

    <p>The reward model in ChatGPT is created based on the ratings given by human trainers to the model's responses during the reinforcement learning phase. It is subsequently improved via iterations of proximal policy optimization (PPO).</p> Signup and view all the answers

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