Building LLMs for Production

Table of Contents

Acknowledgment

Preface

Introduction

Why Prompt Engineering, Fine-Tuning, and RAG?

Coding Environment and Packages

Chapter I: Introduction to LLMs

A Brief History of Language Models

What are Large Language Models?

Building Blocks of LLMs

Tutorial: Translation with LLMs (GPT-3.5 API)

Tutorial: Control LLMs Output with Few-Shot Learning

Recap

Chapter II: LLM Architectures and Landscape

Understanding Transformers

Transformer Model’s Design Choices

Transformer Architecture Optimization Techniques

The Generative Pre-trained Transformer (GPT) Architecture

Introduction to Large Multimodal Models

Proprietary vs. Open Models vs. Open-Source Language Models

Applications and Use-Cases of LLMs

Recap

Chapter III: LLMs in Practice

Understanding ...