Introduction

Introduction

How Do Machines Learn?

How Are Semantic Relationships Captured?

Human vs. Machine Understanding

Introduction

Tokenization

How LLMs Read Text - Tokenization

Embeddings

Tokens Vs. Embeddings

Vector Databases

What Are Large Language Models?

Prompt Engineering

From Tokens to Meaning

Introduction

Customizing LLMs

Training Models from Scratch

In-Context Learning

Fine-Tuning Models

Retrieval-Augmented Generation

Customizing Large Language Models

Introduction

Expectations vs. Reality of AI Adoption

Types of Challenges

Human Behavior Challenges

Business Challenges

Prompting Challenges

AI Governance and Security

Graded Quiz