Tutorials on Reward Model Training

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Reinforcement Learning in Python for LLM Fine-Tuning: Build a Simple RLHF PPO Pipeline

Short version: RLHF with PPO starts from a supervised-fine-tuned model and nudges it toward preferred outputs. You train a reward model on pairwise comparisons, then use PPO to update the policy while keeping it tethered to the starting checkpoint. The training loop generates completions, scores…
Thumbnail Image of Tutorial Reinforcement Learning in Python for LLM Fine-Tuning: Build a Simple RLHF PPO Pipeline
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
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Reinforcement Learning Applications for LLM Agents: RFT, DPO, and SFT Compared

Three methods, three data situations. Supervised fine‑tuning (SFT) copies labeled examples. Direct preference optimization (DPO) aligns to ranked “better vs worse” pairs. Reinforcement fine‑tuning (RFT) runs a reward loop that scores outputs and pushes toward the good ones. Most reinforcement…
Thumbnail Image of Tutorial Reinforcement Learning Applications for LLM Agents: RFT, DPO, and SFT Compared
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
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