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    Using Context Engineering to Gain a Competitive Edge

    Watch: Context Engineering - Enterprise Buzzword or Systemic Human Advantage? by Mark Andrews Context engineering transforms how businesses apply AI models by embedding domain-specific knowledge into systems, creating a competitive edge when generic AI tools are widely accessible. As mentioned in…
    Thumbnail Image of Tutorial Using Context Engineering to Gain a Competitive Edge
    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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      Critically Assessing Generative AI Amid Hype

      Generative AI transforms content creation but requires careful evaluation. Below is a structured overview of its capabilities, challenges, and implementation considerations: Generative AI excels in automating repetitive tasks. For example, content generation (e.g., articles, social media posts)…
      Thumbnail Image of Tutorial Critically Assessing Generative AI Amid Hype
      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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        Designing Zero-Waste Agentic RAG for Low LLM Costs

        Designing zero-waste agentic RAG systems requires balancing cost efficiency with performance. Below is a structured overview of key considerations for implementing this architecture while minimizing large language model (LLM) expenses. To evaluate options, consider the tradeoffs between common RAG…
        Thumbnail Image of Tutorial Designing Zero-Waste Agentic RAG for Low LLM Costs
        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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          Multi‑Turn Task Benchmark Tests LLM Reasoning in Real Scenarios

          The Multi-Turn Task Benchmark tests how well large language models (LLMs) handle complex, step-by-step reasoning in realistic scenarios. Below is a structured overview of key findings, metrics, and practical insights from the benchmark evaluations. A comparison of leading LLMs on multi-turn tasks…
          Thumbnail Image of Tutorial Multi‑Turn Task Benchmark Tests LLM Reasoning in Real Scenarios
          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 Knowledge Graphs to Make Retrieval‑Augmented Generation More Consistent

          Knowledge graphs address critical limitations in Retrieval-Augmented Generation (RAG) by introducing structured, context-aware frameworks that reduce ambiguity and enhance consistency. Modern RAG systems often struggle with fragmented knowledge retrieval, leading to responses that contradict each…
          Thumbnail Image of Tutorial Using Knowledge Graphs to Make Retrieval‑Augmented Generation More Consistent
          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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