LLM-DRIVEN BUSINESS SOLUTIONS SECRETS

Finally, the GPT-3 is properly trained with proximal policy optimization (PPO) utilizing rewards about the produced facts within the reward model. LLaMA two-Chat [21] improves alignment by dividing reward modeling into helpfulness and basic safety rewards and working with rejection sampling in addition to PPO. The initial four variations of LLaMA