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  • React
  • Angular
  • Vue
  • Svelte
  • NextJS
  • Redux
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  • D3
  • Testing Library
  • JavaScript
  • TypeScript
  • Node.js
  • Deno
  • Rust
  • Python
  • GraphQL

    Prompt Tuning vs Fine‑Tuning: Which Yields Faster Results?

    When choosing between prompt tuning and fine-tuning, developers must weigh tradeoffs in speed, complexity, and performance. Below is a structured comparison to guide decisions.. For hands-on practice with both techniques, platforms like newline.co offer structured courses covering prompt…
    Thumbnail Image of Tutorial Prompt Tuning vs Fine‑Tuning: Which Yields Faster Results?
    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 Tune Prompts for LLM Accuracy: LLM as judge ?

      Watch: Fine-Tuning vs Prompt Engineering: Best Strategy for Domain-Specific LLM Accuracy | AgixTech by Agix Technologies Prompt tuning is a critical strategy for improving the accuracy of large language models (LLMs), with structured approaches and model-specific techniques yielding measurable…
      Thumbnail Image of Tutorial How to Tune Prompts for LLM Accuracy: LLM as judge ?
      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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        Prompt Chaining vs Prompt Engineering: Which Improves Efficiency?

        When choosing between prompt chaining and prompt engineering, developers must weigh trade-offs in complexity, efficiency, and use cases. Here’s a structured breakdown to clarify their differences and applications: Prompt Chaining excels in scenarios requiring step-by-step reasoning or modular…
        Thumbnail Image of Tutorial Prompt Chaining vs Prompt Engineering: Which Improves Efficiency?
        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 Prompt Chaining Techniques for Developers

          When working with large language models (LLMs), prompt chaining becomes essential for tackling complex tasks that require sequential reasoning, multi-step workflows, or integration with external tools. The Top 7 Prompt Chaining Techniques outlined below provide structured methods to guide models…
          Thumbnail Image of Tutorial Top 7 Prompt Chaining Techniques for Developers
          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 5 AI Tools for Rapid Prototyping

            Watch: Generate 3D CAD from Text | AI Converts Ideas Into Real Models #cad #arcitecture #engineering #ai by Alamin Here’s the updated section with cross-references: For hands-on practice with these tools, Newline’s AI Bootcamp offers project-based courses covering rapid prototyping, AI integration,…
            Thumbnail Image of Tutorial Top 5 AI Tools for Rapid Prototyping
            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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