LITTLE KNOWN FACTS ABOUT LARGE LANGUAGE MODELS.

Lastly, the GPT-three is trained with proximal policy optimization (PPO) utilizing rewards around the created details from the reward model. LLaMA 2-Chat [21] increases alignment by dividing reward modeling into helpfulness and safety rewards and utilizing rejection sampling Along with PPO. The initial 4 variations of LLaMA two-Chat are wonderful-

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