How Large Language Models Work
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How Large Language Models Work
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Author : Edward Raff
language : en
Publisher: Simon and Schuster
Release Date : 2025-07-22
How Large Language Models Work written by Edward Raff and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-22 with Computers categories.
Learn how large language models like GPT and Gemini work under the hood in plain English. How Large Language Models Work translates years of expert research on Large Language Models into a readable, focused introduction to working with these amazing systems. It explains clearly how LLMs function, introduces the optimization techniques to fine-tune them, and shows how to create pipelines and processes to ensure your AI applications are efficient and error-free. In How Large Language Models Work you will learn how to: • Test and evaluate LLMs • Use human feedback, supervised fine-tuning, and Retrieval Augmented Generation (RAG) • Reducing the risk of bad outputs, high-stakes errors, and automation bias • Human-computer interaction systems • Combine LLMs with traditional ML How Large Language Models Work is authored by top machine learning researchers at Booz Allen Hamilton, including researcher Stella Biderman, Director of AI/ML Research Drew Farris, and Director of Emerging AI Edward Raff. They lay out how LLM and GPT technology works in plain language that’s accessible and engaging for all. About the Technology Large Language Models put the “I” in “AI.” By connecting words, concepts, and patterns from billions of documents, LLMs are able to generate the human-like responses we’ve come to expect from tools like ChatGPT, Claude, and Deep-Seek. In this informative and entertaining book, the world’s best machine learning researchers from Booz Allen Hamilton explore foundational concepts of LLMs, their opportunities and limitations, and the best practices for incorporating AI into your organizations and applications. About the Book How Large Language Models Work takes you inside an LLM, showing step-by-step how a natural language prompt becomes a clear, readable text completion. Written in plain language, you’ll learn how LLMs are created, why they make errors, and how you can design reliable AI solutions. Along the way, you’ll learn how LLMs “think,” how to design LLM-powered applications like agents and Q&A systems, and how to navigate the ethical, legal, and security issues. What’s Inside • Customize LLMs for specific applications • Reduce the risk of bad outputs and bias • Dispel myths about LLMs • Go beyond language processing About the Readers No knowledge of ML or AI systems is required. About the Author Edward Raff, Drew Farris and Stella Biderman are the Director of Emerging AI, Director of AI/ML Research, and machine learning researcher at Booz Allen Hamilton. Table of Contents 1 Big picture: What are LLMs? 2 Tokenizers: How large language models see the world 3 Transformers: How inputs become outputs 4 How LLMs learn 5 How do we constrain the behavior of LLMs? 6 Beyond natural language processing 7 Misconceptions, limits, and eminent abilities of LLMs 8 Designing solutions with large language models 9 Ethics of building and using LLMs
How Do Large Language Models Work A Beginner S Guide To Ai Chatbots And Text Generation
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
How Do Large Language Models Work A Beginner S Guide To Ai Chatbots And Text Generation written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
How Do Large Language Models Work? A Beginner's Guide to AI Chatbots and Text Generation Have you ever chatted with a seemingly intelligent bot online or read a news article suspiciously close to human writing? These feats are powered by Large Language Models (LLMs), complex AI systems revolutionizing how computers understand and generate human language. This book unveils the fascinating world of LLMs, making their inner workings accessible to anyone curious about the future of AI communication. The journey begins by exploring the core technology behind chatbots – LLMs. We delve into the concept of neural networks, the brain-inspired architecture that allows LLMs to learn patterns from vast amounts of text data. You'll discover how word embeddings, a numerical representation of words, empower LLMs to grasp the relationships between words and sentences. Next, we unlock the magic of text generation. Imagine an LLM as a sophisticated Mad Libs player, predicting the most likely word to follow based on context. By analyzing vast amounts of text, LLMs learn to mimic writing styles, generate different formats like poems or code, and even craft narratives with plot and character development. However, the book doesn't shy away from the challenges. We discuss the potential for bias inherited from training data and the importance of ethical considerations in LLM development. We explore how researchers are combating bias and ensuring transparency in LLM training methodologies. The book then dives deep into the fascinating world of AI chatbots. LLMs are the brains behind these chatbots, enabling them to understand your questions and respond with natural language. We explore how LLMs analyze the context of your query, identify the intent behind your questions, and generate responses that are relevant, informative, and even engaging. Finally, we look towards the future, exploring the limitless potential of LLMs. We discuss how they might revolutionize search engines by understanding user intent and delivering personalized results. The potential for human-AI collaboration in the workplace is also explored, where LLMs become powerful collaborators, suggesting ideas and automating tedious tasks. "How Do Large Language Models Work?" is your gateway to understanding this groundbreaking technology. With clear explanations and engaging examples, it demystifies the world of LLMs and empowers you to grasp their potential to transform the way we interact with technology and information.
Deep Learning For Coders With Fastai And Pytorch
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Author : Jeremy Howard
language : en
Publisher: O'Reilly Media
Release Date : 2020-06-29
Deep Learning For Coders With Fastai And Pytorch written by Jeremy Howard and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Introduction To Python And Large Language Models
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Author : Dilyan Grigorov
language : en
Publisher: Springer Nature
Release Date : 2024-10-22
Introduction To Python And Large Language Models written by Dilyan Grigorov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-22 with Computers categories.
Gain a solid foundation for Natural Language Processing (NLP) and Large Language Models (LLMs), emphasizing their significance in today’s computational world. This book is an introductory guide to NLP and LLMs with Python programming. The book starts with the basics of NLP and LLMs. It covers essential NLP concepts, such as text preprocessing, feature engineering, and sentiment analysis using Python. The book offers insights into Python programming, covering syntax, data types, conditionals, loops, functions, and object-oriented programming. Next, it delves deeper into LLMs, unraveling their complex components. You’ll learn about LLM elements, including embedding layers, feedforward layers, recurrent layers, and attention mechanisms. You’ll also explore important topics like tokens, token distributions, zero-shot learning, LLM hallucinations, and insights into popular LLM architectures such as GPT-4, BERT, T5, PALM, and others. Additionally, it covers Python libraries like Hugging Face, OpenAI API, and Cohere. The final chapter bridges theory with practical application, offering step-by-step examples of coded applications for tasks like text generation, summarization, language translation, question-answering systems, and chatbots. In the end, this book will equip you with the knowledge and tools to navigate the dynamic landscape of NLP and LLMs. What You’ll Learn Understand the basics of Python and the features of Python 3.11 Explore the essentials of NLP and how do they lay the foundations for LLMs. Review LLM components. Develop basic apps using LLMs and Python. Who This Book Is For Data analysts, AI and Machine Learning Experts, Python developers, and Software Development Professionals interested in learning the foundations of NLP, LLMs, and the processes of building modern LLM applications for various tasks.
The Handbook On Generative A I For Msmes And Non Profits Part 1
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Author : ARNEL LOPEZ CADELINA
language : en
Publisher: ARNEL LOPEZ CADELIÑA
Release Date : 2024-12-31
The Handbook On Generative A I For Msmes And Non Profits Part 1 written by ARNEL LOPEZ CADELINA and has been published by ARNEL LOPEZ CADELIÑA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-31 with Business & Economics categories.
THE HANDBOOK ON GENERATIVE A.I. FOR MSMEs and Non-Profits is the first of a two parts e-book. This first part is an essential resource for leaders seeking to understand the background, the tools and how to harness the potential of generative AI in their organizations. By providing clear guidance on strategy development, implementation, and overcoming challenges, this handbook aims to equip MSMEs and non-profits with the basic knowledge needed to thrive in an increasingly digital world.
Making Sense Of Generative Ai
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Author : Dominik Hörndlein
language : en
Publisher: Dominik Hörndlein
Release Date : 2025-01-21
Making Sense Of Generative Ai written by Dominik Hörndlein and has been published by Dominik Hörndlein this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-21 with Computers categories.
Making Sense of Generative AI: A Practical Guide for Business Leaders and Curious Minds Cut through the AI hype and transform your business with generative AI. Written by an experienced AI practitioner, this book cuts through complexity without sacrificing substance. Gain the knowledge to make informed decisions about generative AI in your organization. In a world where ChatGPT, DALL-E, Llama and other generative AI tools are reshaping business, this practical guide helps you separate real opportunities from empty promises. "Making Sense of Generative AI" provides a clear roadmap for understanding, evaluating, and implementing AI solutions that deliver genuine business value. What You'll Learn: - How large language models, AI image and video generators actually work - Practical prompt engineering techniques for optimal AI outputs - Setting up effective AI guardrails and safety measures - Strategic frameworks for successful AI project implementation - Future developments in artificial general intelligence and their business impact Real-World Applications Across Industries: - Customer service automation with AI agents - Document analysis and knowledge management - Content creation for marketing and communications - Personalized user experiences and engagement Includes Practical Resources: - Implementation frameworks and templates - Risk assessment guidelines - Business case calculation models - Strategic planning tools for AI transformation Perfect For: - Curious minds seeking practical knowledge about AI technology - Business leaders and executives planning AI initiatives - Project managers implementing generative AI solutions - Innovation teams exploring new AI capabilities - Professionals wanting to understand AI's business implications
Pretrain Vision And Large Language Models In Python
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Author : Emily Webber
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-05-31
Pretrain Vision And Large Language Models In Python written by Emily Webber and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-31 with Computers categories.
Master the art of training vision and large language models with conceptual fundaments and industry-expert guidance. Learn about AWS services and design patterns, with relevant coding examples Key Features Learn to develop, train, tune, and apply foundation models with optimized end-to-end pipelines Explore large-scale distributed training for models and datasets with AWS and SageMaker examples Evaluate, deploy, and operationalize your custom models with bias detection and pipeline monitoring Book Description Foundation models have forever changed machine learning. From BERT to ChatGPT, CLIP to Stable Diffusion, when billions of parameters are combined with large datasets and hundreds to thousands of GPUs, the result is nothing short of record-breaking. The recommendations, advice, and code samples in this book will help you pretrain and fine-tune your own foundation models from scratch on AWS and Amazon SageMaker, while applying them to hundreds of use cases across your organization. With advice from seasoned AWS and machine learning expert Emily Webber, this book helps you learn everything you need to go from project ideation to dataset preparation, training, evaluation, and deployment for large language, vision, and multimodal models. With step-by-step explanations of essential concepts and practical examples, you'll go from mastering the concept of pretraining to preparing your dataset and model, configuring your environment, training, fine-tuning, evaluating, deploying, and optimizing your foundation models. You will learn how to apply the scaling laws to distributing your model and dataset over multiple GPUs, remove bias, achieve high throughput, and build deployment pipelines. By the end of this book, you'll be well equipped to embark on your own project to pretrain and fine-tune the foundation models of the future. What you will learn Find the right use cases and datasets for pretraining and fine-tuning Prepare for large-scale training with custom accelerators and GPUs Configure environments on AWS and SageMaker to maximize performance Select hyperparameters based on your model and constraints Distribute your model and dataset using many types of parallelism Avoid pitfalls with job restarts, intermittent health checks, and more Evaluate your model with quantitative and qualitative insights Deploy your models with runtime improvements and monitoring pipelines Who this book is for If you're a machine learning researcher or enthusiast who wants to start a foundation modelling project, this book is for you. Applied scientists, data scientists, machine learning engineers, solution architects, product managers, and students will all benefit from this book. Intermediate Python is a must, along with introductory concepts of cloud computing. A strong understanding of deep learning fundamentals is needed, while advanced topics will be explained. The content covers advanced machine learning and cloud techniques, explaining them in an actionable, easy-to-understand way.
The Future Of No Work Master Ai Gain Superpowers Earn More And Live By Your Own Rules
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Author : Filip Drimalka
language : en
Publisher: Jaico Publishing House
Release Date : 2025-04-10
The Future Of No Work Master Ai Gain Superpowers Earn More And Live By Your Own Rules written by Filip Drimalka and has been published by Jaico Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-10 with Business & Economics categories.
We have been told for ages that technology would make our lives easier. Instead, we increasingly find ourselves drowning in tedious tasks and feeling trapped in the daily grind—overflowing calendars, endless to-do lists, and a never-ending stream of interruptions. And since we’re always connected, our work never seems to end. Fortunately, the Al revolution is here. And it’s about to change everything. Imagine a world where technology finally starts taking care of all the boring stuff so you can focus on what really matters to you. Where smart AI apps empower you to create anything you can imagine, and even things you never would have thought of. Where you have the power to redesign work around your life, not the other way around. This is the era of “No Work.” It’s not about escaping work but about using our skills and leveraging the possibilities unlocked by AI so that our days are primarily comprised of the things we are passionate about. Because that’s how we can create something extra-ordinary. Inside this book, you’ll find hundreds of practical examples and tips: • How to find, select, and use the right digital tools for anything you do. • How to make your productivity skyrocket with AI and reclaim your time. • How to do things your way—with greater freedom by automating more tasks. • How to craft the work you want, whether you’re an entrepreneur or an employee. • How to seize new opportunities and build a future-proof career. The book will provide you with loads of tips on the best apps and tools that are part of the AI revolution, but the real magic is how it changes the way you think. You’ll learn new skills and timeless principles that will keep you ahead of the game, no matter how AI changes the way we work.
The Conversation On Work
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Author : Ian O. Williamson
language : en
Publisher: JHU Press
Release Date : 2024-08-27
The Conversation On Work written by Ian O. Williamson and has been published by JHU Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-27 with Business & Economics categories.
From contributors to TheConversation.com, illuminating essays on how and why working in the twenty-first century is rapidly changing. Work has evolved tremendously over the last 50 years and even more so since the COVID-19 pandemic. In The Conversation on Work, editor Ian O. Williamson assembles essential essays from The Conversation to explore paradigmatic shifts in how people work—and what these changes mean for the future of labor. Covering diverse and urgent topics such as burnout and mental health, remote and hybrid working environments, unions, and job inequities among marginalized groups, the authors critically examine the future of the changing workplace. Essays on how artificial intelligence will affect workers and companies, the effects of the COVID-19 pandemic on workplaces, and other critical labor trends round out the collection. The Critical Conversations series collects essays from top scholars on timely topics, including water, biotechnology, gender diversity, and guns, originally published on the independent news site The Conversation.
Maximizing Productivity With Chatgpt
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Author : Jason Brownlee
language : en
Publisher: Machine Learning Mastery
Release Date : 2023-07-25
Maximizing Productivity With Chatgpt written by Jason Brownlee and has been published by Machine Learning Mastery this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-25 with Computers categories.
ChatGPT is one of the leading models in the AI language model arena and is widely used in various fields. With ChatGPT, you can effortlessly harness the power of AI to improve your efficiency with just a few well-crafted prompts. Many productivity-boosting tasks are facilitated by ChatGPT, so understanding how to interact with it paves the way for you to leverage the power of advanced AI. This ebook is written in the engaging and approachable style that you’re familiar with from the Machine Learning Mastery series. Discover exactly how to get started and apply ChatGPT to your own productivity, learning, or creativity projects.