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  • React
  • Angular
  • Vue
  • Svelte
  • NextJS
  • Redux
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  • JavaScript
  • TypeScript
  • Node.js
  • Deno
  • Rust
  • Python
  • GraphQL

    How to Implement LoRA-QLoRA in AI for Drug Discovery

    LoRA (Low-Rank Adaptation) and QLoRA (Quantized Low-Rank Adaptation) are parameter-efficient fine-tuning techniques that enable resource-constrained adaptation of large foundation models without retraining the entire architecture. These methods introduce low-rank matrices to existing model weights,…
    Thumbnail Image of Tutorial How to Implement LoRA-QLoRA in AI for Drug Discovery
    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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      Review of Codex with GPT 5.2

      Codex is an AI system specialized for coding tasks, developed by OpenAI to assist developers with code generation, debugging, and code reviews . It integrates with tools like GitHub and ChatGPT, allowing users to perform code-related tasks directly within their development workflows . GPT-5.2, the…
      Thumbnail Image of Tutorial Review of Codex with GPT 5.2
      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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        Your Checklist for Cheap AI LLM model inference

        Large Language Models (LLMs) are advanced AI systems trained on vast datasets to perform tasks like text generation, translation, and reasoning. These models, such as GPT-3, which achieved an MMLU score of 42 at a cost of $60 per million tokens in 2021 , rely on complex neural network architectures…
        Thumbnail Image of Tutorial Your Checklist for Cheap AI LLM model 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.
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          How to Implement AI Applications: Vibecore Examples

          Watch: Vibe-coding 101 (beginner friendly) 🍥🫶 by meshtimes Vibecore is a multifaceted platform designed to streamline the development of AI applications through two distinct but complementary approaches. First, it functions as an extensible agent framework for building AI-powered automation tools…
          Thumbnail Image of Tutorial How to Implement AI Applications: Vibecore Examples
          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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            Practical AI Applications: Real-World Examples

            Artificial intelligence (AI) applications encompass systems designed to perform tasks requiring human-like intelligence, such as problem-solving, pattern recognition, and decision-making. These applications span industries and daily activities, leveraging machine learning, natural language…
            Thumbnail Image of Tutorial Practical AI Applications: Real-World Examples
            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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