How to Align Large Language Models with Human Preferences Using Direct Preference Optimization, QLoRA, and Ultra-Feedback

In this tutorial, we implement an end-to-end Direct Preference Optimization workflow to align a large language model with human preferences without using a reward model. We combine TRL’s DPOTrainer with QLoRA and PEFT to make preference-based alignment feasible on a single Colab GPU. We train direct... Link: https://www.marktechpost.com/2026/02/12/how-to-align-large-language-models-with-human-preferences-using-direct-preference-optimization-qlora-and-ultra-feedback/ :Cat-AI
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