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Category: "Artificial Intelligence"

Books

  1. ChatGPT Made Simple
    A Practical Guide for Everyday Users
    Kür Şad

    Delve into "ChatGPT Made Simple: A Practical Guide for Everyday Users," written by ChatGPT itself, to unlock AI-assisted potential in daily tasks. Learn from real-life applications, tutorials, and tips to revolutionize writing, learning, and communication. Embrace ChatGPT as your reliable AI companion in the modern digital world.

  2. Artificial Idiocy
    How Artificial Intelligence Became Digital Witchcraft
    Alessandro Parisi

    How much truth is there in the high-sounding claims about Artificial Intelligence?How to disavow the rhetoric of the techno-chauvinists with intuitive and convincing arguments?Not giving in to the spell of Digital Witchcraft is advisable not only for the layman, but also for the expert in the sector.

  3. The McGinty Equation
    Unifying Quantum Field Theory and Fractal Theory to Understand Subatomic Particle Behavior
    Chris McGinty

    Beyond practical applications, the McGinty Equation underscores the beauty and elegance of physics, demonstrating how theoretical concepts can be used to solve complex problems and uncover new truths about the universe. Its potential applications extend beyond quantum mechanics and into other fields, such as biology, finance, and computer science.

  4. Introduction to ChatGPT An Overview of OpenAI's Cutting-Edge Language Model
    Discovering the Possibilities of ChatGPT: An Overview of OpenAI's State-of-the-Art Language Model
    Lionel Tchami

    Discover the groundbreaking technology behind one of the most advanced language models in the world with "Introduction to ChatGPT." This ebook provides a comprehensive overview of OpenAI's ChatGPT, its capabilities, and its impact on the field of natural language processing.

  5. Essential Python libraries and frameworks that every aspiring data scientist, ML engineer, and Python developer should know.

  6. AI is emerging as a powerful tool that can unlock new insights and improve operational efficiencies.

  7. AI is emerging as a powerful tool that can unlock new insights and improve operational efficiencies.

  8. LangChain and LlamaIndex Projects Lab Book: Hooking Large Language Models Up to the Real World
    Using GPT-4, ChatGPT, Hugging Face, and local Ollama Models in Applications.
    Mark Watson

    LangChain and LlamaIndex introduce new paradigms for developing software by blending together Large Language Models and conventional software written in Python. Running LLMs like GPT with your own data allows you to quickly build personalized applications.

  9. This book introduces you to the 42 most commonly used machine learning algorithms in an understandable way.

  10. The author explains what is a perceptron with two layers and the backpropagation method to train the network. It is included a program in python.

  11. En este trabajo se muestran las bases del entranamiento de una red perceptrón multicapas, aplicado al caso de una red que hace las veces de una función exor. Se ha usado programación en Python.

  12. Asking for a Friend
    A Treasury of Trivial Questions and Insignificant Issues
    Malcolm Maclean

     Delve into the murky depths of ChatBot driven absurdity. Just how far are our technology overlords from total domination? Judge for yourself.

  13. AI for Non Profit Organizations
    How To Use AI To Further Your Mission
    Vamsi Nellutla

    AI can help non-profits operate more efficiently and effectively. Learn about the benefits of AI and how to implement it in your organization.

  14. MINDFUL AI
    Reflections on Artificial Intelligence
    Murat Durmus

    The field of AI is highly interdisciplinary & evolutionary. The more AI penetrates our life and environment, the more comprehensive the points we have to consider and adapt. Technological developments are far ahead of ethical & philosophical interpretations. This fact is disturbing.We need to close this gap as soon as possible.

  15. Programming of distributed and Web crowdsourcing applications using mobile agents and the JavaScript Agent Machine can be so easy! Less than 100 lines code are required to create a multi-agent system. Only basic JavaScript knowledge is required.