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ChatGPT owes its success to its ability to automatically generate text like a human, like Tay from Microsoft or Galactica from Meta
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A series of GPT models are composed of language models based on transformer technology
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Step 1: Collect demonstration data and train generation rules in supervision. This first step corresponds to the fine-tuning of the GPT-3.5 model
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Step 3 : Optimize moderation principles in terms of reward model using Reinforcement Learning (RL) algorithm.
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Containing PPO model and optimized GPT-3.5 model, the moderation API is being used since the chatbot provides answers
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Like any text system, ChatGPT can generate nonsense text based on what it retains from the model language
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ChatGPT is a machine, an algorithm, so we can get caught up in the game of asking it many questions, so the machine is divine because of its extra knowledge