Fine-tune Llama 2 with DPO

In three linesHugging Face publishes a guide to fine-tune Llama 2 using DPO (Direct Preference Optimization). The method aligns the model to user preferences without explicit reward modeling, reducing computational costs compared to traditional RLHF approaches.

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