Lastly, the GPT-3 is qualified with proximal policy optimization (PPO) making use of benefits within the produced knowledge from the reward model. LLaMA two-Chat [21] increases alignment by dividing reward modeling into helpfulness and security rewards and working with rejection sampling in addition to PPO. The initial four versions of LLaMA two-C