Essential Guide to LLMOps

Table of Contents

Preface

Part 1: Foundations of LLMOps

1

Introduction to LLMs and LLMOps

The evolution of NLP and LLMs

The rise of machine learning in NLP

Deep learning revolution

The birth of LLMs

Current state and future directions

Traditional MLOps versus LLMOps

Stages in the MLOps life cycle

Specific challenges and methodologies in LLMOps

Trends in LLM integration

Integration of LLMs across industries

Current trends and examples of LLM applications

Core concepts of LLMOps

Key LLMOps-specific terminology

Model architecture

LLMOps workflow overview

Step-by-step overview

Real-world example

Summary

2

Reviewing LLMOps Components

Data collection and preparation

Data collection

Processing raw text

Tokenization

Storing token ID mappings

Dataset ...