The Quick Guide to Prompt Engineering

1The Basics of Generative Artificial Intelligence

Table of Contents

• Understanding AI, Machine Learning, and Deep Learning
  • What Is AI
    • Historical Development
    • Applications of AI
    • AI Today
    • The Future of AI
  • What Is Machine Learning
  • What Is Deep Learning
  • What Is Generative AI
    • Early Beginnings of Generative AI
    • The Current Evolution of Generative AI
    • What Are Discriminative Models
    • Applications of Generative AI
    • Limitations of Generative AI
    • The Future of Generative AI
  • What Is a Language Model?
    • N-gram Language Models
    • Recurrent Neural Networks (RNNs)
    • Long Short-Term Memory (LSTM) Networks
    • Transformer Models
    • BERT (Bidirectional Encoder Representations from Transformers)
    • GPT (Generative Pretrained Transformer)
    • Summary
    • Applications in Data Management
    • Applications of AI in Business

Understanding AI, Machine Learning, and Deep Learning

What Is AI

Artificial intelligence (AI) is a branch of computer science that aims to create machines capable of mimicking human intelligence. Unlike traditional systems that follow explicit instructions, AI systems are designed to process information and make decisions or predictions based on the data they're given. The overarching goal of AI is to develop algorithms and models that allow machines to perform tasks—ranging from recognizing patterns to decision-making—that would usually require human cognition. AI's scope spans various technologies, including robotics, natural language processing (NLP), and expert systems. Its applications ...