THE SINGLE BEST STRATEGY TO USE FOR LANGUAGE MODEL APPLICATIONS

Last of all, the GPT-3 is trained with proximal coverage optimization (PPO) making use of benefits to the produced information through the reward model. LLaMA two-Chat [21] enhances alignment by dividing reward modeling into helpfulness and safety rewards and working with rejection sampling in addition to PPO. The Original 4 variations of LLaMA 2-