RLHF is a core part of how large language models learn.
It stands for reinforcement learning with human feedback. Idea is you train models to align with human preferences.
A core input is data from human annotators as an input into the learning process.
The algorithm now widely used in RLHF was pioneered by OpenAI (InstructGPT). The idea is you align the model with human intent. Alignment with human intent is what makes the model (more) useful.
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