This Paper Reveals Insights from Reproducing OpenAI’s RLHF (Reinforcement Learning from Human Feedback) Work: Implementation and Scaling Explored

In recent years, there has been an enormous development in pre-trained large language models (LLMs). These LLMs are trained to predict the next token given the previous tokens and provide a suitable prompt. They can solve various natural language processing (NLP) tasks. However, the next-token prediction objective deviates from the fundamental aim of “outputting contents […]

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