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Using LLMs to Spot Unexpected Text Patterns

Watch: Why Do LLMs Have Unexpected Abilities Like In-context Learning? - AI and Machine Learning Explained by AI and Machine Learning Explained Spotting unexpected text patterns isn’t just a technical exercise-it’s a strategic advantage for businesses and researchers managing complex data market.…
Thumbnail Image of Tutorial Using LLMs to Spot Unexpected Text Patterns
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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Two‑Level Uncertainty for Safe AI Ranking Models

As introduced in the Introduction to Two-Level Uncertainty section, AI ranking models face a critical challenge: non-stationarity. Market conditions, financial regimes, and data distributions shift over time, causing historically reliable models to fail suddenly. For example, the AI Stock…
Thumbnail Image of Tutorial Two‑Level Uncertainty for Safe AI Ranking Models
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 Synthetic Data to Improve LLM Fine‑Tuning

Synthetic data is transforming how developers and organizations fine-tune large language models (LLMs), addressing critical limitations of real-world datasets while enable new capabilities. Industry research shows that real-world data is often insufficient for domain-specific tasks. For example,…
Thumbnail Image of Tutorial Using Synthetic Data to Improve LLM Fine‑Tuning
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 Starts Covering Its Own Hosting Costs

Watch: AI Subscription vs H100 by Caleb Writes Code Managing AI hosting costs is critical for businesses aiming to deploy scalable, sustainable AI solutions. The financial stakes are high: a single AI chatbot for an e-commerce company can incur over $5,000 in its first month of operations, with…
Thumbnail Image of Tutorial When AI Starts Covering Its Own Hosting 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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When Smart AI Agents Choose Not to Cooperate

Understanding non-cooperative AI agents is critical for industries increasingly reliant on autonomous systems. Over 240 applications were submitted for the Cooperative AI Foundation’s 2026 PhD fellowship, reflecting a 35% year-over-year surge in interest. This growth mirrors the rise of AI agents…
Thumbnail Image of Tutorial When Smart AI Agents Choose Not to Cooperate
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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