PDF [Download] Understanding Large Language
Understanding Large Language Models: Learning Their Underlying Concepts and Technologies by Thimira Amaratunga
- Understanding Large Language Models: Learning Their Underlying Concepts and Technologies
- Thimira Amaratunga
- Page: 156
- Format: pdf, ePub, mobi, fb2
- ISBN: 9798868800160
- Publisher: Apress
Ebook from google download Understanding Large Language Models: Learning Their Underlying Concepts and Technologies 9798868800160 CHM (English Edition) by Thimira Amaratunga
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
A quick introduction to the Large language model (ChatGPT)
LLMs are designed to process vast amounts of text data and use advanced neural network architectures to learn the patterns and relationships
A High-Level Overview Of Large Language Model
Discuss the concept of large language models (LLMs) and how they are implemented with a set of data to develop an application.
Understanding Large Language Models
This book will teach you the underlying concepts of large language models (LLMs), as well as the technologies associated with them.
What is a Large Language Model?
A large language model (LLM) is a deep learning algorithm that can perform a variety of natural language processing (NLP) tasks. Large language models use
A Very Gentle Introduction to Large Language Models
learning algorithm. Learn about machine learning and AI in the most detailed manner. Visit my own website, for free: http://onepagecode.s3
What is a Large Language Model: A Beginner's Guide
A large language model is a groundbreaking artificial intelligence (AI) innovation that has revolutionized how computers understand and generate human language.
Large Language Models (LLMs) – Unlocking the potential
In the simplest terms, Large Language Models (LLMs) are advanced AI models that excel in understanding and generating human-like text.
The debate over understanding in AI's large language
We survey a current, heated debate in the artificial intelligence (AI) research community on whether large pretrained language models can be
Understanding Large Language Models for AI - TechHead
Training large language models (LLMs) is resource-intensive, requiring substantial computational power, energy, and time, leading to high financial costs.
Understanding Large Language Models Learning Their
This book will teach you the underlying concepts of large language models (LLMs), as well as the technologies associated with them.
The Basics of Large Language Models
Training a large language model requires feeding the neural network with massive amounts of text data, typically hundreds of billions of words
Do large language models know what they are talking about?
It doesn't have a true understanding of the meaning behind its training data, rather than a genuine comprehension of the concepts being
Natural Language Processing (NLP)
At its core, a language model aims to understand and generate human language by estimating the probability of a word or sequence of words
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