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And lastly, the GPT-3 is properly trained with proximal coverage optimization (PPO) using benefits around the created information with the reward model. LLaMA 2-Chat [21] increases alignment by dividing reward modeling into helpfulness and security benefits and applying rejection sampling In combination with PPO. The Original four variations of LL