A Map of Artificial Intelligence

Hello, and welcome to "A Map of Artificial Intelligence", a website that aims to provide a comprehensive guide to the world of AI. As someone who has always been interested in the latest technology and its potential to transform our world, I'm excited to share my knowledge and insights with you.

In this website, you will find different sections on AI, including an introduction to AI, the different types of AI, and specific techniques such as Neuronal Networks and Natural Language Processing (NLP).

While the content has been partially generated with generative AI, I have carefully curated and edited the content to ensure accuracy and readability. My goal is to provide you with insightful and informative articles that will deepen your understanding of AI.

In the future, I plan to add more sections to this website to provide a more comprehensive map of the world of AI. I hope that this website will serve as a valuable resource for anyone interested in AI, from students and educators to researchers and practitioners.

So, join me on this journey as we explore the world of AI together. Let's navigate the map of artificial intelligence and discover its potential to transform our future.

Table of contents

• 1. Artificial Intelligence
  • 1.1. Introduction
  • 1.2. AI vs. Normal Programming
  • 1.3. AI Models
  • 1.4. How does AI work?
  • 1.5. General AI
  • 1.6. Narrow AI

• 2. Types of AI
  • 2.1 Reactive AI
  • 2.2 Limited AI
  • 2.3 Self-aware AI
  • 2.4 Theory of Mind AI
  • 2.5 Machine Learning
    • 2.5.1 Introduction
    • 2.5.2 Reinforcement Learning
    • 2.5.3 Supervised Learning
    • 2.5.4 Unsupervised Learning
    • 2.5.5 Deep Learning

• 3. Neural Networks
  • 3.1 Introduction
  • 3.2 Feedforward Neural Networks
  • 3.3 Convolutional Neural Networks
  • 3.4 Recurrent Neural Networks
  • 3.5 Long Short-Term Memory
  • 3.6 Autoencoders
  • 3.7 Generative Adversarial Networks
  • 3.8 Self-Organizing Maps
  • 3.9 Transformers

• 4. Natural Language Processing
  • 4.1 Introduction
  • 4.2 Language Model
  • 4.3 Tokenization
  • 4.4 Stemming and Lemmatization
  • 4.5 Part-of-speech (POS) Tagging
  • 4.6 Named Entity Recognition (NER)
  • 4.7 Word Embeddings
  • 4.8 Transformer Models
  • 4.9 Context Window
  • 4.10 RAG