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Understanding Large Language Models: Learning Their Underlying Concepts and Technologies. Thimira Amaratunga

Understanding Large Language Models: Learning Their Underlying Concepts and Technologies


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ISBN: 9798868800160 | 156 pages | 4 Mb
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  • Understanding Large Language Models: Learning Their Underlying Concepts and Technologies
  • Thimira Amaratunga
  • Page: 156
  • Format: pdf, ePub, fb2, mobi
  • ISBN: 9798868800160
  • Publisher: Apress
Download Understanding Large Language Models: Learning Their Underlying Concepts and Technologies

Free download pdf ebooks files Understanding Large Language Models: Learning Their Underlying Concepts and Technologies MOBI CHM iBook (English Edition)

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

Introducing Large Language Models (LLMs)
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What is a Large Language Model?
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How Large Language Models Work
Learn about watsonx → https://www.ibm.com/watsonx Large language models-- or LLMs --are a type of generative pretrained transformer (GPT) 
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.
Introduction to large language models
Enroll in this course on Google Cloud Skills Boost → https://goo.gle/3nXSmLs Large Language Models (LLMs) and Generative AI intersect and 
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.
A Comprehensive List of Resources to Master Large
In this vast landscape of AI, a revolutionary force emerged in the form of Large Language Models (LLMS). It is not just a buzzword but our 
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 
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A large language model like GPT (Generative Pre-trained Transformer), upon which I am based, is a machine learning model designed to understand 
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This article does not require any technical or mathematical background. We will make heavy use of metaphors to illustrate the concepts. We will 
Why Large Language Models Will Not Understand Human
Even Yeshua Bengio, one of the godfathers of deep learning, stated that the field “hasn't delivered yet on systems that can discover high-level representations— 
What is a large language model and how does it work?
Large language models are the foundational technology behind recent artificial intelligence advancements like ChatGPT.
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 

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