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Direct Preference Optimization (DPO) - How to fine-tune LLMs directly without reinforcement learning
Direct Preference Optimization (DPO) is a method used for training Large Language Models (LLMs). DPO is a direct way to train the LLM without the need for reinforcement learning, which makes it more effective and more efficient. Learn about it in this simple video! This is the third one in a series of 4 videos dedicated to the reinforcement ...
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