So, What Exactly Is Generative AI?

First Things First: What Is a Prompt?

Exploring Human-AI Partnerships in Creative Fields

Identifying Key Players and Evaluating GenAI Providers

GenAI as Writing Assistant

GenAI’s Shame That No One Is Talking About

Writing Academic Papers with GenAI Assistance

Tailoring GenAI to Produce Content for Specialized Fields

Getting Better Results by Combining Different Types of AI

Getting Ready to Create with GenAI

Getting to the Point with GenAI-Powered Summarization

Evaluating AI Models in Terms of Your Specific Needs

Discovering the Difference Enterprise-Level AI Tools Make

Capturing Inspiration and Cashing In: A Case Study

Achieving Originality and Excellence in GenAI-Generated Content

Are We Humans Becoming Obsolete?

Unleashing Your Inner Artist: Exploring the Power of AI Play

Leverage Keywords

1.1 Retrieving Historical Market Data

2.1 Creating Codes from a Strategy Specification

3.1 Unsupervised Learning

4.1 Why Generative Models

5.1 Representation Complexity

6.1 Introduction

7.1 Introduction

8.1 Introduction

9.1 Sentiment Analysis in Fed Press Conference Speeches Using Large Language Models

10.1 Introduction

11.1 Diffusion Models

A.1   Retrieving Adjusted Closing Prices and Computing Daily Returns

A.2   Installing Python

A.3   Plotting the Risk-free-rate over the Years

A.4   Computing the Sharpe Ratio of SPY

A.5   Matlab Code for Computing Efficient Frontier and Finding the Tangency Portfolio

What Is AI?

What Is Discriminative AI?

What Is Generative AI?

Note

Why Generative Models?

From Birth to Maturity: Tracing the Development of Generative Models

From Pixels to Perfection: The Evolution of AI Image Generation

A Crucial Tech Disruption: Text Generation

Tech Triumphs in Text Generation

Notes

Foundational and Specialized AI Models, and the Question of Open Source vs. Closed Source

Application Fields

The Untapped Potential of Generative AI

Notes

The Growth Pattern of New Technologies—The S‐Curve

Technological Convergence