And lastly, the GPT-three is properly trained with proximal plan optimization (PPO) applying benefits over the created information through the reward model. LLaMA two-Chat [21] enhances alignment by dividing reward modeling into helpfulness and security rewards and utilizing rejection sampling Besides PPO. The initial four versions of LLaMA 2-Chat