large language models Fundamentals Explained
Finally, the GPT-3 is properly trained with proximal coverage optimization (PPO) making use of benefits within the produced data from your reward model. LLaMA two-Chat [21] increases alignment by dividing reward modeling into helpfulness and safety rewards and working with rejection sampling As well as PPO. The First 4 versions of LLaMA 2-Chat are