Artificial Intelligence

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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 directly on the UltraFeedback binarized dataset, where each prompt has

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Weekly Review 13 February 2026

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):Firefox at least allows you to easily disable AI: https://www.theregister.com/2026/02/03/firefox_ai_kill_switch/ AI can’t create game worlds as well as humans, yet: https://www.extremetech.com/computing/googles-project-genie-ai-tool-spooks-the-video-game-industry Where trustworthy AI is going: https://www.informationweek.com/machine-learning-ai/what-does-trustworthy-ai-look-like-in-2026- AI is not leading to the cost-reductions that were promised: https://www.techrepublic.com/article/ai-roi-wage-costs-apac/ AI is now

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