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      "text": "1. Fine-tune GPT-3.5: ChatGPT focused language model that has been fine-tuned on conversational data such as short, informal sentences and specific conversational conventions. 2. Train a reward model: A labeler ranks possible responses to prompts, and this data is used to train a reward model to determine the final response. 3. Use reinforcement learning to optimize reward: An agent learns to choose the best response to a prompt by receiving feedback in the form of the rewards from step 2. 4. Moderation endpoint: A separate language model is used to classify text as whether they violate content policy by being “sexual, hateful, violent, or promoting self-harm”.",
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