AI and Generative Models
Overview
In this part, we introduce the field of artificial intelligence by defining what AI is, tracing its key milestones and research cycles, and highlighting the rise of generative AI as one of the most recent breakthroughs.
The chapters in this part are as follows:
- Defining Artificial Intelligence explains what artificial intelligence is and how it relates human intelligence.
- Milestones and AI Cycles reviews the main phases of AI research, from symbolic AI to machine learning and deep learning, along with cycles of optimism and AI winters, and landmark achievements such as Deep Blue, Watson, and AlphaGo.
- Generative AI and Language Models introduces generative AI, briefly mentioning model families such as GANs, diffusion models, and transformers, with a special focus on large language models, their applications, and their risks.
- Summary summarizes the key takeaways from this part.