Tutorials on Ai Accuracy

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  • React
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  • NextJS
  • Redux
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  • JavaScript
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  • Node.js
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Why GraphRAG Beats Vector RAG for Enterprise AI

GraphRAG stands out in enterprise AI by addressing critical challenges like accuracy, compliance, and scalability while delivering measurable business outcomes. Unlike Vector RAG, which relies on similarity-based guesses, GraphRAG uses structured relationships between entities to ground responses…
Thumbnail Image of Tutorial Why GraphRAG Beats Vector RAG for Enterprise AI
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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NEW

How Reasoning Models Are Finding a Common Neural Ground

Reasoning models are becoming essential as artificial intelligence grows more complex. These models bridge the gap between symbolic reasoning and neural networks, enabling systems to align their decisions with human logic. By grounding decisions in explainable processes, they address critical…
Thumbnail Image of Tutorial How Reasoning Models Are Finding a Common Neural Ground
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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NEW

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.
•Last Updated:
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