Book Understanding Large Language Models: Learning Their Underlying Concepts and Technologies PDF Download - Thimira Amaratunga
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Understanding Large Language Models: Learning Their Underlying Concepts and Technologies
Thimira Amaratunga
Page: 156
Format: pdf, ePub, mobi, fb2
ISBN: 9798868800160
Publisher: Apress
Download or Read Online Understanding Large Language Models: Learning Their Underlying Concepts and Technologies Free Book (PDF ePub Mobi) by Thimira Amaratunga
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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
What Is a Large Language Model, the Tech Behind
A neural network is a type of machine learning model based on a number of small mathematical functions called neurons. Like the neurons in a
What Are Large Language Models? A Complete Guide
Fine-tuning involves taking the basic knowledge that the model has learned from all of its training data and then teaching it to contextualize
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
What are large language models (LLMs)
It is a powerful piece of data that is massively used in artificial intelligence and turned into the hottest topic nowadays - large language
A Very Gentle Introduction to Large Language Models
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A High-level Overview of Large Language Models
Each language model has a context window length, which determines the maximum number of tokens it can process at a time. Typically, LLMs have a
Large language models, explained with a minimum of math
Machine learning researchers had been experimenting with large language models (LLMs) for a few years by that point, but the general public had
What Are Large Language Models Used For?
Through this method, a large language model learns words, as well as the relationships between and concepts behind them. It could, for example,
A Comprehensive Overview of Large Language Models
PDF | Large Language Models (LLMs) have shown excellent generalization capabilities that have led to the development of numerous models.
What is a large language model, and how does it work?
A large language model like GPT (Generative Pre-trained Transformer), upon which I am based, is a machine learning model designed to understand
Definition of Large language model
In this video, we delve deep into the world of Large Language Models (LLMs) and their transformative impact on artificial intelligence (AI).
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