Welcome to the session ‘journey Into Generative AI’.
So far, you have been introduced to the landscape of generative AI. You have learned about the different tools and products available in today’s market and their impact on the economy. However, we have yet to explore the underlying technology that powers these generative AI products.
In this session,we will delve into the evolution of technology that led to the development of the complex and highly useful generative AI models we see today. We will trace the timeline of artificial intelligence (AI) development and pause at multiple points to examine the workings of different technologies. This will provide a nuanced understanding of what goes behind complex generative AI systems.
In this session, you will:
- Get an overview of the development of AI models through history.
- Differentiate between different paradigms of artificial intelligence, including:
- Machine learning
- Deep learning
- Generative artificial intelligence.
- Examine the workings of transformers and other language models.
- Understand the transformer models to large language models and generative AI.
So, let’s begin by exploring some key breakthroughs in artificial intelligence over the years.
Guidelines for in-session questions
The in-video and in-content questions for this session are not graded. The graded questions will be provided later in a separate session.