Chapter 1: Introduction to AI

Chatbots like Chat-GPT, Gemini, and Azure use Natural Language Processing (NLP), a type of Artificial Intelligence, to understand and interpret text. Here's how NLP typically works:

1. Gather and prepare unstructured text or speech information
2. Pre-process the data using techniques like tokenization, stemming, lemmatization, and stop word removal
3. Train the model on the processed data
4. Use the trained model for various language-related tasks

AI Image Generation combines Language Processing with large sets of picture data to create images based on text descriptions. While powerful, these tools have limitations:

• Quality depends on the pre-trained images used by the model
• May struggle with precise details
• Output accuracy can vary based on the training data's representativeness

Computer Vision has numerous applications, including:

• Facial recognition
• Self-driving cars
• Medical anomaly detection
• Sports performance analysis

A key component of computer vision is the Convolutional Neural Network (CNN), which helps ML models 'see' by breaking down images into pixels and identifying patterns.