How to fine-tune GPT-4o with DPO on Azure OpenAI | Pradip Tivhale posted on the topic | LinkedIn
How to fine-tune GPT-4o with DPO on Azure OpenAI | Pradip Tivhale …
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DeepLearning.AI on Instagram: "Our course recommendation of the day is “Post-training of LLMs, ” where you’ll learn how to customize pre-trained language models using Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Online Reinforcement Learning (RL). You'll learn when to use each method, how to curate training data, and implement them in code to shape model behavior effectively. Enroll at the link in bio or comment "LLM" to receive the link in your inbox."
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Direct Preference Optimization is one of the most significant advances in AI over the last six months. It provides a simpler and more efficient way to align a model's preferences. You can try out in packages like TRL. Direct Preference Optimization (DPO) - A Simplified Explanation: https://medium.com/@joaolages/direct-preference-optimization-dpo-622fc1f18707 Direct Preference Optimization: Your Language Model is Secretly a Reward Model - https://arxiv.org/pdf/2305.18290.pdf DPO Trainer: https://
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