Finally, the GPT-three is trained with proximal coverage optimization (PPO) working with rewards about the created information through the reward model. LLaMA two-Chat [21] improves alignment by dividing reward modeling into helpfulness and basic safety benefits and using rejection sampling As well as PPO. The Original 4 versions of LLaMA 2-Chat a
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