PDF Understanding Large Language Models Learning Their Underlying Concepts and Technologies by Thim
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Understanding Large Language Models: Learning Their Underlying Concepts and Technologies Thimira Amaratunga ebook#
Page: 156
Format: pdf / epub / kindle
ISBN: 9798868800160
Publisher: Apress
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 learningAI and Generative AI for Media In the active field of media, Machine Learning (ML) and Natural Language Processing (NLP), underpinned by Large Language Models (LLMs), act as key catalysts What are Large Language Models (LLMs)? Learning Objectives · Understand the concept of Large Language Models (LLMs) and their importance in natural language processing. · Know about How ChatGPT Works: The Model Behind The Bot This gentle introduction to the machine learning models that power ChatGPT, will start at the introduction of Large Language Models, dive into the Harnessing the Power of Large Language Models These models, typically based on deep learning algorithms, have a vast number of parameters, often ranging from millions to hundreds of billions 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. Natural Language Understanding with Python Furthermore, this book lays the groundwork for diving into advanced topics such as deep learning and extensive language models. Upon finishing the book, readers Large Language Models (in 2023) I gave a talk at Seoul National University. I titled the talk “Large Language Models (in 2023)”. This was an ambitious attempt to summarize 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, Exploring AI challenges: common limitations of large The development and refinement of large language models, specifically the notable improvement in critical thinking and logical reasoning 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 The Full Story of Large Language Models and RLHF One can say that via this process the model creates an internal representation of language. During the training process, text sequences are What are large language models? Training LLMs using unsupervised learning · Transformer processing · Incorporating zero-shot learning · Fine-tuning with supervised learning.