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    What Is RLHF AI and How to Apply It

    Reinforcement Learning from Human Feedback (RLHF) is a training method that aligns AI models with human preferences by integrating feedback into the reinforcement learning process. It plays a critical role in refining large language models (LLMs) to produce safer, more helpful outputs, as…
    Thumbnail Image of Tutorial What Is RLHF AI and How to Apply It
    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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      Claude Skills and Subagents Reduce Prompt Bloat

      Watch: How I Built an AI Council with Claude Code Subagents by Mark Kashef Claude Skills and Subagents offer a structured approach to reducing prompt bloat by enabling reusable, context-aware instructions that optimize token usage and improve context management. This section breaks down their…
      Thumbnail Image of Tutorial Claude Skills and Subagents Reduce Prompt Bloat
      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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        Using process rewards to train LLMs for better search reasoning

        Training large language models (LLMs) to improve search reasoning often involves process rewards-a technique that evaluates and reinforces step-by-step reasoning rather than just final answers. This approach enhances accuracy in complex tasks like math problems, logical deductions, and multi-step…
        Thumbnail Image of Tutorial Using process rewards to train LLMs for better search reasoning
        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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          Mitigating bias in LLM‑based scoring of English language learners

          Mitigating bias in LLM-based scoring for English language learners (ELLs) requires a structured approach to ensure fairness and accuracy. Below is a summary of key strategies, challenges, and outcomes based on recent research. Different LLMs employ varied bias mitigation methods. For example, GPT-4…
          Thumbnail Image of Tutorial Mitigating bias in LLM‑based scoring of English language learners
          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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            What Is Prompt Chaining and How to Use It

            Prompt chaining is a method where complex tasks are broken into sequential subtasks, each handled by a distinct prompt. This approach ensures context is preserved between steps and allows for structured problem-solving. Below is a breakdown of key aspects, techniques, and applications. Benefits:…
            Thumbnail Image of Tutorial What Is Prompt Chaining and How to Use It
            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.
            •Last Updated:
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