This is the first step toward developing a proper understanding of AI.
We will gradually explore the essential concepts behind what AI is, how it generates answers, and what limitations it has. The goal is to build a clear and accurate understanding of AI.
PART 1 Table of Contents
#01. Does AI Really Think?
(What AI Is and How It Differs from Human Thought)
#02. How Is Generative AI Different from Traditional AI?
(Task-Specific AI and Generative AI)
#03. How Does AI Generate Answers?
(Data and Recurring Patterns)
#04. What Determines AI Performance?
(The Roles of Data and Models)
#05. Why Can AI Be Confidently Wrong?
(Hallucinations and the Limits of AI)
#06. How Did AI Become What It Is Today?
(Advances in Data, Algorithms, and Computing Power)
#07. Why Does AI Struggle with Korean?
(Language Characteristics and Differences in Data)
#08. Why Does AI Give Different Answers to the Same Question?
(The Influence of Prompts and Context)
