large language models Fundamentals Explained
And finally, the GPT-3 is properly trained with proximal plan optimization (PPO) making use of rewards over the produced information from the reward model. LLaMA two-Chat [21] improves alignment by dividing reward modeling into helpfulness and protection benefits and utilizing rejection sampling Together with PPO. The initial 4 variations of LLaMA