Get Free Shipping on orders over $79
Understanding Large Language Models : Learning Their Underlying Concepts and Technologies - Thimira Amaratunga

Understanding Large Language Models

Learning Their Underlying Concepts and Technologies

By: Thimira Amaratunga

eText | 25 November 2023

At a Glance

eText


$74.99

or 4 interest-free payments of $18.75 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

This book will teach you the underlying concepts of large language models (LLMs), as well as the technologies associated with them.

The book starts with an introduction to the rise of conversational AIs such as ChatGPT, and how they are related to the broader spectrum of large language models. From there, you will learn about natural language processing (NLP), its core concepts, and how it has led to the rise of LLMs. Next, you will gain insight into transformers and how their characteristics, such as self-attention, enhance the capabilities of language modeling, along with the unique capabilities of LLMs. The book concludes with an exploration of the architectures of various LLMs and the opportunities presented by their ever-increasing capabilities—as well as the dangers of their misuse.

After completing this book, you will have a thorough understanding of LLMs and will be ready to take your first steps in implementing them into your own projects.

What You Will Learn

  • Grasp the underlying concepts of LLMs
  • Gain insight into how the concepts and approaches of NLP have evolved over the years
  • Understand transformer models and attention mechanisms
  • Explore different types of LLMs and their applications
  • Understand the architectures of popular LLMs
  • Delve into misconceptions and concerns about LLMs, as well as how to best utilize them

Who This Book Is For

Anyone interested in learning the foundational concepts of NLP, LLMs, and recent advancements of deep learning

on
Desktop
Tablet
Mobile

More in Artificial Intelligence

AI-Powered Search - Trey Grainger

eBOOK

HBR Guide to Generative AI for Managers : HBR Guide - Elisa Farri

eBOOK

AI : The End of Human Race - Alex Wood

eBOOK