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  • React
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    Enterprise AI Applications with LoRA‑QLoRA

    Watch: LoRA - Low-rank Adaption of AI Large Language Models: LoRA and QLoRA Explained Simply by Wes Roth LoRA (Low-Rank Adaptation) and QLoRA (Quantized LoRA) are parameter-efficient fine-tuning techniques that enable enterprises to adapt large language models (LLMs) to domain-specific tasks with…
    Thumbnail Image of Tutorial Enterprise AI Applications with LoRA‑QLoRA
    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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      LoRA‑QLoRA vs Model Context Protocol for Enterprise AI Applications

      LoRA (Low-Rank Adaptation) and QLoRA (Quantized LoRA) are parameter-efficient fine-tuning techniques designed to adapt large language models (LLMs) to specific tasks without full retraining. LoRA introduces low-rank matrices to the pre-trained model’s weights, enabling targeted adjustments while…
      Thumbnail Image of Tutorial LoRA‑QLoRA vs Model Context Protocol for Enterprise AI Applications
      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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        Optimizing AI Inferences in Enterprise Applications

        Watch: AI Inference: The Secret to AI's Superpowers by IBM Technology AI inferences refer to the process of using trained artificial intelligence models to generate predictions or decisions based on new data inputs. In enterprise applications, this process is critical for enabling real-time…
        Thumbnail Image of Tutorial Optimizing AI Inferences in Enterprise Applications
        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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          AI in Healthcare: Innovations and Practical Benefits

          Artificial Intelligence (AI) is reshaping the healthcare landscape by integrating advanced computational techniques to enhance diagnostics, treatment personalization, and operational efficiency. Defined as the application of machine learning, natural language processing, and robotics to medical…
          Thumbnail Image of Tutorial AI in Healthcare: Innovations and Practical Benefits
          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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            LoRA‑QLoRA vs MCP: 10 Uses of Artificial Intelligence

            LoRA (Low-Rank Adaptation) and QLoRA (Quantized LoRA) are parameter-efficient fine-tuning methods designed to optimize Large Language Models (LLMs) for specific tasks without retraining the entire model. LoRA introduces low-rank matrices to pre-trained LLMs, enabling adaptations with minimal…
            Thumbnail Image of Tutorial LoRA‑QLoRA vs MCP: 10 Uses of Artificial Intelligence
            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:
            00
            Read Full Article

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