Course Content

Section 1: Understanding the Basics

• What is AI?
  A brief overview of artificial intelligence and its evolution.
• Introduction to Machine Learning
  Explaining the concept of machine learning, its types, and how it differs from traditional programming.

Section 2: The Genesis and Evolution of GPT

• Early Beginnings of GPT
  Discussing the development of Generative Pre-trained Transformers, starting from GPT-1.
• Understanding GPT-2 and GPT-3
  Exploring the advancements and capabilities introduced in subsequent versions.
• Latest Developments
  A look at the most recent iterations and what they signify for the future of AI.

Section 3: How GPT Works

• The Mechanism of GPT
  A simplified explanation of how GPT processes and generates text.
• Training and Data
  Understanding the data used to train GPT and the importance of large datasets.

Section 4: Capabilities and Applications

• What Can GPT Do?
  Discussing the wide range of GPT's capabilities including writing, translating, summarizing, and more.
• GPT in the Classroom
  Exploring practical examples of how GPT can be used for teaching, learning, and administrative tasks.