Reinforcement Learning from Human Feedback (RLHF) was the secret sauce that transformed large language models from clever predictors into helpful assistants. This powerful technique, which aligns model outputs with human preferences, is now sparking a revolution in computer vision. For practitioners in data science, this is a pivotal moment. The same principles that taught models to write better are now teaching them to see better, opening up a new frontier of applications in image generation, visual reasoning, and even robotics.
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