Generative AI

Table of contents

1. Fundamentals

   1.1. Definition

   1.2. Terminology and Notation

   1.3. Cost Function

   1.4. Types of supervised learning

2. Regression Model

   2.1. Linear Regression Model

   2.2. Polynomial Regression Model

3. Classification Model

   3.1. Logistic Regression

4. Overfitting

   4.1. The problem of overfitting and potential solutions

   4.2. Regularization

This is the summary of McKinsey Global Survey [1].

1.

- The most commonly cited risk in gen AI is inaccuracy. Other risks that companies also concerns are cybersecurity and regulatory compliance.

2.

Reference

1. The state of AI in 2023: Generative AI’s breakout year