Finally, the GPT-three is properly trained with proximal coverage optimization (PPO) working with benefits on the generated info from the reward model. LLaMA 2-Chat [21] enhances alignment by dividing reward modeling into helpfulness and basic safety benefits and utilizing rejection sampling As well as PPO. The First 4 variations of LLaMA two-Chat