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Why LLM Hallucinations Aren’t Bugs

Watch: Why Large Language Models Hallucinate by IBM Technology LLM hallucinations aren’t bugs-they’re a byproduct of how these models are trained, evaluated, and incentivized to perform. Understanding this requires examining the interplay between statistical prediction, evaluation metrics, and the…
Thumbnail Image of Tutorial Why LLM Hallucinations Aren’t Bugs
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 Codex Subagents to Skip Feature Testing

Codex subagents are transforming how development teams approach feature testing by automating repetitive, time-intensive tasks. Traditional software testing methods often consume 30-50% of a project’s timeline, with manual testing alone accounting for up to 40% of development costs. These figures…
Thumbnail Image of Tutorial Using Codex Subagents to Skip Feature Testing
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 Google Colab to Prototype AI Workflows

Watch: Build Anything with Google Colab, Here’s How by David Ondrej Google Colab has become a cornerstone of modern AI workflow prototyping, driven by the exponential growth of AI adoption and the urgent need for tools that balance speed, accessibility, and scalability. Industry data reveals that…
Thumbnail Image of Tutorial Using Google Colab to Prototype AI Workflows
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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When AI Agents Start Remembering Each Other

AI agents remembering each other is no longer a theoretical concept-it’s a critical capability shaping the future of AI systems. When agents retain and share contextual information, they move beyond isolated interactions to create cohesive, adaptive experiences. This shift has profound implications…
Thumbnail Image of Tutorial When AI Agents Start Remembering Each Other
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 Large Language Models to Find Counterexamples in Mathematical Proofs

Finding counterexamples in mathematical proofs is not just an academic exercise-it’s a critical skill that shapes how we validate, refine, and trust mathematical knowledge. For researchers, engineers, and even industries relying on mathematical models, the ability to identify flaws in assumptions…
Thumbnail Image of Tutorial Using Large Language Models to Find Counterexamples in Mathematical Proofs
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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