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  • React
  • Angular
  • Vue
  • Svelte
  • NextJS
  • Redux
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  • JavaScript
  • TypeScript
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Prompt Engineering Tools: LangChain vs Hugging Face

Watch: Hugging Face + Langchain in 5 mins | Access 200k+ FREE AI models for your AI apps by AI Jason Prompt engineering tools matter because they bridge the gap between raw AI models and practical, high-performing applications. As AI adoption surges-with platforms like Hugging Face hosting over…
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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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What is Claude Co-Work

Watch: What Are Claude Cowork Projects (And Why They Change Everything) by Paul J Lipsky Claude Co-Work is reshaping how teams approach productivity by turning AI from a chatbot into a true coworker. Unlike traditional tools that require manual input for every step, Co-Work acts as an agentic AI-it…
Thumbnail Image of Tutorial What is Claude Co-Work
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 Does Tokenizer Works

Watch: Most devs don't understand how LLM tokens work by Matt Pocock Tokenizers are the unsung heroes of modern AI and NLP systems, bridging the gap between raw human language and the numerical precision required by machine learning models. At their core, tokenizers convert text into structured,…
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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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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…
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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.
•Last Updated:
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