5 SIMPLE TECHNIQUES FOR LARGE LANGUAGE MODELS

5 Simple Techniques For large language models

And lastly, the GPT-three is skilled with proximal coverage optimization (PPO) working with benefits over the created data from your reward model. LLaMA two-Chat [21] improves alignment by dividing reward modeling into helpfulness and security benefits and applying rejection sampling As well as PPO. The First 4 versions of LLaMA 2-Chat are wonderf

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