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    What Is In-Context Learning and How to Use It

    In-context learning (ICL) is a prompt engineering technique where models absorb task-specific knowledge directly from examples embedded in input prompts, without retraining. This method leverages the model’s existing pretraining to adapt to new tasks by providing contextual demonstrations. For…
    Thumbnail Image of Tutorial What Is In-Context Learning 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.
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      Top 7 QLoRA Tools for Fine‑Tuning LLMs

      Watch: QLoRA - Efficient Finetuning of Quantized LLMs by Rajistics - data science, AI, and machine learning The Quick Summary section provides a structured comparison of the top QLoRA tools for fine-tuning large language models (LLMs), emphasizing efficiency, cost, and practical implementation.…
      Thumbnail Image of Tutorial Top 7 QLoRA Tools for Fine‑Tuning LLMs
      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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        llm meaning in ai Checklist: What to Check

        Watch: How Large Language Models Work by IBM Technology When working with Large Language Models (LLMs) in AI development, clarity and structure are essential. LLMs-like those powering AI assistants or chatbots-rely on robust frameworks to ensure accuracy, efficiency, and ethical alignment. A…
        Thumbnail Image of Tutorial llm meaning in ai Checklist: What to Check
        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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          How to Choose AI Models for Projects

          Selecting the right AI model for your project requires balancing technical requirements, resource availability, and project goals. Below is a structured overview to guide your decision-making process, including a comparison of popular models, time/effort estimates, and difficulty ratings.. When…
          Thumbnail Image of Tutorial How to Choose AI Models for Projects
          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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            How to Implement Tensor Parallelism for Faster Inference

            Implementing tensor parallelism accelerates large language model (LLM) inference by distributing computations across GPUs, reducing latency for real-world applications. Below is a structured breakdown of key insights and practical considerations for developers: Benefits: Challenges:
            Thumbnail Image of Tutorial How to Implement Tensor Parallelism for Faster Inference
            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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