Simplifying and Scaling Methods to Align AI Models to Human Values
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RLHF (reinforcement learning from human feedback) is used to align AI models like ChatGPT to be helpful, honest, and harmless based on human preferences.
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Direct Preference Optimization (DPO) simplifies the RLHF process and achieves similar or better performance.
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Using AI rather than human feedback (RLAIF) to align models is gaining traction as a cheaper, faster method.
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Alignment techniques will expand beyond language to other modalities like image, video, and audio.
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Startups have opportunities in collecting preference data and building tools to make alignment more accessible.