The N Implementation Details of RLHF with PPO | ICLR Blogposts 2024

Reinforcement Learning from Human Feedback (RLHF) is pivotal in the modern application of language modeling, as exemplified by ChatGPT. This blog post delves into an in-depth exploration of RLHF, attempting to reproduce the results from OpenAI's inaugural RLHF paper, published in 2019. Our detailed examination provides valuable insights into the implementation details of RLHF, which often go unnoticed. Shengyi Costa Huang Hugging Face Tianlin Liu University of Basel Leandro von Werra Hugging Face May 7, 2024 Reinforcement Learning from Human Feedback (RLHF) has been an impactful technique for training modern language models such as ChatGPT. In our quest to research more on RLHF, this blog post closely examines OpenAI’s inaugural RLHF paper published in 2019 together with its open-source codebase at available at openai/lm-human-preferences. Despite being based on TensorFlow-1, the code base released by OpenAI is very well-evaluated and benchmarked, making it a good place to study RLHF

The N Implementation Details of RLHF with PPO | ICLR Blogposts 2024 The N Implementation Details of RLHF with PPO Reinforcement Learning from Human Feedback (RLHF) is pivotal in the modern application of language modeling, as exemplified by ChatGPT. This blog post delves into an in-depth exploration of RLHF, attempting to reproduce the results from OpenAI's inaugural RLHF paper, published in 2019. Our detailed examination provides valuable insights into the implementation details of RLHF, which often go unnoticed. Reinforcement Learning from Human Feedback (RLHF) has been an impactful techniqu

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