### Rapidshare ebooks download free Understanding Large Language Models: Learning Their Underlying Concepts and Technologies PDB ePub MOBI 9798868800160 by Thimira Amaratunga [](http://filesbooks.info/download.php?group=book&from=gmbinder.com&id=693405&lnk=1192) To Download or Read This book click on the link button below : ➡ [**[Download book](http://filesbooks.info/download.php?group=book&from=gmbinder.com&id=693405&lnk=1192 "Download book")**] ➡ [**[Read online book](http://filesbooks.info/download.php?group=book&from=gmbinder.com&id=693405&lnk=1192 "Read online book")**] ### 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 learning 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  What Are Large Language Models? What Is the Purpose Behind Large Language Models? · Language translation · Code and text generation · Question answering · Education and training  Choosing the right language model for your NLP use case Large Language Models (LLMs) are Deep Learning models trained to produce text. With this impressive ability, LLMs have become the backbone  What are large language models? Training LLMs using unsupervised learning · Transformer processing · Incorporating zero-shot learning · Fine-tuning with supervised learning. 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 Is a Large Language Model (LLM)? Large language models use artificial intelligence (AI) technology to understand and generate language that is natural and human-sounding. Learn how large  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 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  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,  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  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. 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  Understanding Large Language Models through the Lens This paper is motivated by Floridi's recent claim that Large Language Models like ChatGPT can be seen as 'intelligence-free' agents. Talking About Large Language Models First, the performance of LLMs on benchmarks scales with the size of the training set (and, to a lesser degree with model size). Second, there.