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Direct Preference Optimization (DPO) - How to fine-tune LLMs directly without reinforcement learning
21:15
YouTubeSerrano.Academy
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 ...
27.3K viewsJun 21, 2024
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Top videos
Direct Preference Optimization (DPO) explained: Bradley-Terry model, log probabilities, math
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DPO Training
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面试官：PPO与DPO的区别？？被问懵了。。AI大模型面试必看！
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bilibiliAI大模型大课堂
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bilibili雨落实战
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DPO算法实操：大模型偏好对齐与DPO算法实战，Agent与MCP的工 …
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【DPO衍生算法串讲-Part 1】r2Q*，Step-DPO，RTO，TDPO，S…
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