RLHF Data Collection: How to Source and Annotate Preference Data for LLM Fine-Tuning
Large language models don’t become helpful, harmless, and aligned with human expectations by accident. Pretraining teaches a model to predict the next token across a massive corpus of text, but it doesn’t teach the model what a good response actually looks like from a human’s point of view. That gap is closed through Reinforcement Learning […]
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