Amarnath Pandey

  • Master CNN like Top Expert, Even if You Terrible at Maths

    Master CNN like Top Expert, Even if You Terrible at Maths

    If you are a deep learning engineer or researcher, it’s nearly impossible not to have heard of CNNs (Convolutional Neural Networks). They are one of the most widely used AI architectures in the modern AI development landscape. In this blog, part 1 of 3, I will explain how you can create incredibly useful, production-level…

  • The Tragedy of Sporus | Trapped in a Nightmare

    Act I: The Abduction Rome, AD 65. Poppaea Sabina, the pregnant wife of the emperor, was dead. Her skull, fractured by a kick from Nero in a violent rage, left no ambiguity about the cause. The imperial court, ever the mouthpiece of fear, whispered only what was safe: she had died from “misfortune.” But…

  • 5 Extraordinary Feature Extraction Methods used by Top Experts

    5 Extraordinary Feature Extraction Methods used by Top Experts

    Knowing these methods is a must and very important to be a relevant AI researcher. Feature extraction is one of the most underestimated topics studied by beginners in ML and data science. However, deep learning follows a principle known as GIGO — “Garbage In, Garbage Out.” Feature extraction is a crucial step in data…

  • How to start an AI chatbot development company

    How to start an AI chatbot development company

    Hey guys, this is a tutorial blog with a step-by-step guide on how to create an AI chatbot development company. This is not your average article — I’ve spent over 100 hours researching what really works and what doesn’t. In this blog, you’ll gain real insights and can start earning in your first week.…

  • How accurate are AI detectors in identifying machine-generated content

    How accurate are AI detectors in identifying machine-generated content

    Listen to the podcast on this post created by notebooklm on How accurate are AI detectors in identifying machine-generated content Link to Paper : edintegrity In the ever-evolving world of AI, people have raised really important questions about plagiarism and the difference between AI-generated and human-generated content. Now, we are grappling with questions that…

  • Gender Politics: Pareto Polarization

    Gender Politics: Pareto Polarization

    So Extreme feminists say men have oppressed women for far too long and all men should die, and women are goddesses because they have a vagina. And I might have metaphorically raped those extreme feminists just by having a dick. And Incel communities see women as the problem—that they have chosen better-looking men over…

  • How Project Natick Underwater Centers Unleash Amazing Tech

    How Project Natick Underwater Centers Unleash Amazing Tech

    Project Natick revolutionized our perception of data centers. It was among the most sophisticated aquatic technology research initiatives ever conducted—a simple and clever concept that a teenager could imagine but is most likely never pursued. Let’s find out how this research left thousands of scholars in wonder for its remarkable dependability, usefulness, and environmentally…

  • Dark History of Russia Ukraine War

    Dark History of Russia Ukraine War

    “Give them bread and circus, and they will never revolt.” But what if the circus itself turns into politics? When spectacle overtakes governance, revolution becomes inevitable. People will no longer tolerate two-faced politicians. Combine that disillusionment with humanity’s innate thirst for chaos, and we might inadvertently set the stage for global catastrophe. Yet, we…

  • In-Context Learning: The Adaptive Engine of Modern Language Models

    In-Context Learning: The Adaptive Engine of Modern Language Models

    In-context learning (ICL) has emerged as a transformative capability of large language models (LLMs), enabling them to perform novel tasks without parameter updates or fine-tuning. By analyzing input-output examples embedded within prompts, LLMs dynamically adapt to user intentions, leveraging pre-trained knowledge while interpreting contextual cues. This paradigm shift combines the scalability of pre-training with…

  • Is Artificial Intelligence Really Going to End Humanity?

    Is Artificial Intelligence Really Going to End Humanity?

    Introduction Recent economic shifts reveal a striking paradox: corporate giants raise half a trillion dollars to dominate artificial intelligence (AI), only to be outpaced by nimble innovators spending as little as $5 million. This disparity underscores a critical truth—our grasp of AI’s potential remains uncertain, clouded by hype and misdirection. In this blog, I…