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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 here: https://hubs.la/Q03MrS670 | DeepLearning.AI
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Google releases Tunix, an open-source library for LLM post-training. | Ashwin Sreejith posted on the topic | LinkedIn
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