In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You'll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.

Build a Large Language Model (from Scratch) teaches you how to:

- Plan and code all the parts of an LLM
- Prepare a dataset suitable for LLM training
- Fine-tune LLMs for text classification and with your own data
- Use human feedback to ensure your LLM follows instructions
- Load pretrained weights into an LLM

Build a Large Language Model (from Scratch) takes you inside the AI black box to tinker with the internal systems that power generative AI. As you work through each key stage of LLM creation, you'll develop an in-depth understanding of how LLMs work, their limitations, and their customization methods. Your LLM can be developed on an ordinary laptop, and used as your own personal assistant.

Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.

About the technology

Physicist Richard P. Feynman reportedly said, I don't understand anything I can't build. Based on this same powerful principle, bestselling author Sebastian Raschka guides you step by step as you build a GPT-style LLM that you can run on your laptop. This is an engaging book that covers each stage of the process, from planning and coding to training and fine-tuning.

About the book

Build a Large Language Model (From Scratch) is a practical and eminently-satisfying hands-on journey into the foundations of generative AI. Without relying on any existing LLM libraries, you'll code a base model, evolve it into a text classifier, and ultimately create a chatbot that can follow your conversational instructions. And you'll really understand it because you built it yourself!

What's inside

- Plan and code an LLM comparable to GPT-2
- Load pretrained weights
- Construct a complete training pipeline
- Fine-tune your LLM for text classification
- Develop LLMs that follow human instructions

About the reader

Readers need intermediate Python skills and some knowledge of machine learning. The LLM you create will run on any modern laptop and can optionally utilize GPUs.

About the author

Sebastian Raschka is a Staff Research Engineer at Lightning AI, where he works on LLM research and develops open-source software.

The technical editor on this book was David Caswell.

Table of Contents

1 Understanding large language models
2 Working with text data
3 Coding attention mechanisms
4 Implementing a GPT model from scratch to generate text
5 Pretraining on unlabeled data
6 Fine-tuning for classification
7 Fine-tuning to follow instructions
A Introduction to PyTorch
B References and further reading
C Exercise solutions
D Adding bells and whistles to the training loop
E Parameter-efficient fine-tuning with LoRA

Dive into the intelligence that powers artificial intelligence

Artificial intelligence is swiftly moving from a sci-fi future to a modern reality. This edition of Artificial Intelligence For Dummies keeps pace with the lighting-fast expansion of AI tools that are overhauling every corner of reality. This book demystifies how artificial intelligence systems operate, giving you a look at the inner workings of AI and explaining the important role of data in creating intelligence. You'll get a primer on using AI in everyday life, and you'll also get a glimpse into possible AI-driven futures. What's next for humanity in the age of AI? How will your job and your life change as AI continue to evolve? How can you take advantage of AI today to make your live easier? This jargon-free Dummies guide answers all your most pressing questions about the world of artificial intelligence.

• Learn the basics of AI hardware and software, and how intelligence is created from code
• Get up to date with the latest AI trends and disruptions across industries
• Wrap your mind around what the AI revolution means for humanity, and for you
• Discover tips on using generative AI ethically and effectively

Artificial Intelligence For Dummies is the ideal starting point for anyone seeking a deeper technological understanding of how artificial intelligence works and what promise it holds for the future.

Unlock the Power of Artificial Intelligence (AI): The essential guide for Developers.

Artificial
Intelligence for Developers in easy steps is your fast-track
guide to mastering AI and enhancing your coding skills. Whether you're an
aspiring developer or a student familiar with Python, this practical guide
empowers you to build intelligent AI solutions quickly and easily.

AI
is shaping the future, and this book shows you how it works whilst providing
hands-on tutorials to create real-world AI applications. You'll even discover
how to use no-code and low-code AI tools. Plus, it comes with free downloadable
source code so that you can start building immediately!

Inside,
you'll learn:

Perfect for developers
who want to stay ahead in the rapidly-evolving AI landscape, this guide equips
you with the tools to update your skillset and stay competitive in today's
tech-driven world.

Don't wait - take your coding skills to
the next level with Artificial Intelligence for Developers in
easy steps - today!

Master machine learning through clarity, not complexity―in a book engineered to teach with exceptional conciseness.

Translated into 11 languages and used in thousands of universities worldwide, this book takes a unique approach: it assumes that your time is valuable. Instead of drowning you in theory or skimming the surface, it delivers a complete education in modern machine learning, focusing on what matters in practice. From fundamental algorithms that form the backbone of many applications, to cutting-edge deep learning and neural networks, you'll understand how these tools work and how to use them.

What sets this book apart is its careful progression through key concepts. You'll start with essential mathematical concepts and gradually progress through the most practically important machine learning algorithms. You'll learn practical skills like feature engineering, regularization, handling imbalanced datasets, ensembles, and model evaluation that help turn theory into working systems.

The book covers not just supervised learning, but also clustering, topic modeling, metric learning, learning to rank, and recommendation systems, giving you a complete toolkit for solving modern machine learning challenges.

This isn't just another theoretical textbook. Every chapter reflects the author's real-world experience, focusing on techniques that work in practice. Whether you're building a recommendation system, analyzing customer data, or working with images and text, you'll find practical guidance here.

This isn't a high-level overview either. The book explores each concept with precisely the right level of technical detail-enough to create those crucial a-ha! moments of understanding, but not so much that you get overwhelmed by mathematical notation or theoretical abstractions. It hits that sweet spot where complex ideas click into place naturally, making it valuable for both newcomers looking to build a strong foundation and experienced practitioners seeking to expand their toolkit.

What's Inside

• Supervised and unsupervised learning algorithms and neural networks
• Algorithm and math explained intuitively without losing important detail
• Practical techniques for model building, troubleshooting, and evaluation
• Advanced topics like ensembles, recommender systems, metric learning, and more

About the Reader

The book assumes a basic foundation in college-level mathematics. However, it's entirely self-contained, introducing all necessary mathematical concepts through intuitive explanations. This approach ensures that readers with basic mathematical knowledge can follow along without getting lost in complex equations.

Endorsed by Peter Norvig, Research Director at Google, co-author of AIMA, the most popular AI textbook in the world, Aurélien Géron, Senior AI Engineer, author of the bestseller Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, and other industry leaders.

Read endorsements on themlbook.com

Stay ahead in the marketing game by harnessing the power of artificial intelligence

Marketing with AI For Dummies is your introduction to the revolution that's occurring in the marketing industry, thanks to artificial intelligence tools that can create text, images, audio, video, websites, and beyond. This book captures the insight of leading marketing executive Shiv Singh on how AI will change marketing, helping new and experienced marketers tackle AI marketing plans, content, creative assets, and localized campaigns. You'll also learn to manage SEO and customer personalization with powerful new technologies.

• Peek at the inner workings of AI marketing tools to see how you can best leverage their capabilities
• Identify customers, create content, customize outreach, and personalize customer experience with AI
• Consider how your team, department, or organization can be retooled to thrive in an AI-enabled world
• Learn from valuable case studies that show how large organizations are using AI in their campaigns

This easy-to-understand Dummies guide is perfect for marketers at all levels, as well as those who only wear a marketing hat occasionally. Whatever your professional background, Marketing with AI For Dummies will usher you into the future of marketing.

Learn the art of writing effective AI prompts and break into an exciting new career field

Unlock the full power of generative AI with Writing AI Prompts For Dummies, a comprehensive guide that will teach you how to confidently write effective AI prompts. Whether it's text, images, or even videos and music you're aiming to create, this book provides the foundational knowledge and practical strategies needed to produce impressive results.

Embark on a journey of discovery with Writing AI Prompts For Dummies and learn how to:

• Craft AI prompts that produce the most powerful results.
• Navigate the complexities of different AI platforms with ease.
• Generate a diverse range of content, from compelling narratives to stunning visuals.
• Refine AI-generated output to perfection and integrate that output effectively into your business or project.

This resource is brimming with expert guidance and will help you write AI prompts that achieve your objectives. Whether you're a marketer, educator, artist, or entrepreneur, Writing AI Prompts For Dummies is your indispensable guide for leveraging AI to its fullest potential. Get ready to harness the power of artificial intelligence and spark a revolution in your creative and professional efforts.

AI is about to transform medicine. Here's what you need to know right now.

''The development of AI is as fundamental as the creation of the personal computer. It will change the way people work, learn, and communicate--and transform healthcare. But it must be managed carefully to ensure its benefits outweigh the risks. I'm encouraged to see this early exploration of the opportunities and responsibilities of AI in medicine.''

--Bill Gates

Just months ago, millions of people were stunned by ChatGPT's amazing abilities -- and its bizarre hallucinations. But that was 2022. GPT-4 is now here: smarter, more accurate, with deeper technical knowledge. GPT-4 and its competitors and followers are on the verge of transforming medicine. But with lives on the line, you need to understand these technologies -- stat.

What can they do? What can't they do -- yet? What shouldn't they ever do? To decide, experience the cutting edge for yourself. Join three insiders who've had months of early access to GPT-4 as they reveal its momentous potential -- to improve diagnoses, summarize patient visits, streamline processes, accelerate research, and much more. You'll see real GPT-4 dialogues -- unrehearsed and unfiltered, brilliant and blundering alike -- all annotated with invaluable context, candid commentary, real risk insights, and up-to-the-minute takeaways.

• Preview a day in the life of a doctor with a true AI assistant.
• See how AI can enhance doctor-patient encounters at the bedside and beyond.
• Learn how modern AI works, why it can fail, and how it can be tested to earn trust.
• Empower patients: improve access and equity, fill gaps in care, and support behavior change.
• Ask better questions and get better answers with prompt engineering.
• Leverage AI to cut waste, uncover fraud, streamline reimbursement, and lower costs.
• Optimize clinical trials and accelerate cures with AI as a research collaborator.
• Find the right guardrails and gain crucial insights for regulators and policymakers.
• Sketch possible futures: What dreams may come next?

There has never been technology like this. Whether you're a physician, patient, healthcare leader, payer, policymaker, or investor, AI will profoundly impact you -- and it might make the difference between life or death. Be informed, be ready, and take charge -- with this book.

This book shows how anyone can easily start an online business that helps companies solve these critical business issues using a simple AI system, along with a counterintuitive selling strategy to get paid 5 or 6 figures per contract, sometimes even 7 figures-without being an AI expert, having any special tech skills, or business experience... and certainly not having to build an online brand and post content all day.

Learn how to generate high quality, business documents with AI

This essential guide helps business writers and other professionals learn the strengths and weaknesses of AI as a writing assistant. You'll discover how AI can help you by chopping through writer's block, drafting an outline, generating headlines and titles, producing meaningful text, maintaining consistency, proofreading and editing, and optimizing content for search engines. Employees in all industries spend enormous amounts of energy writing, editing, and proofreading documents of all kinds. Now, you can improve your efficiency and boost the quality of your work, thanks to AI writing tools like ChatGPT, Jaspar, Grammarly, and beyond. With clear instructions and simple tips, Business Writing with AI For Dummies guides you through the process of using AI for common business writing tasks.

• Produce high quality, specialized writing quicker and at a lower cost
• Use AI to draft business-related content like emails, articles, business plans, grant proposals, bios, websites, and many others
• Incorporate AI into your writing process to make your workday more efficient
• Take advantage of AI so you can focus your human creativity on going beyond the basics

For business professionals facing tight deadlines or large volumes of writing tasks, this easy-to-use Dummies guide will be a game changer.

Artificial Intelligence: An Illustrated History explores the historic origins and current applications of AI in such diverse fields as computing, medicine, popular culture, mythology, and philosophy. Through more than 100 entries, award-winning author Clifford A. Pickover, offers a granular, yet accessible, glimpse into the world of AI--from medieval robots and Boolean algebra to facial recognition, and artificial neural networks. First released in 2019, this updated paperback edition brings readers up to speed with coverage of technologies such as DALL-E and ChatGPT, and it explores the very real fear that AI will alter the course of humanity--forever.

UPDATED 2nd EDITION

Generative AI is creating revolutionary change at a head-spinning pace that will touch nearly every aspect of our lives. It has already triggered a tidal wave of technological innovation that holds the potential to disrupt industries and organizations while creating new unforeseen opportunities for everyone.

Are you intrigued by the power of AI and want to explore its creative possibilities? Or are you new to this world and feeling a bit overwhelmed by this technology and how it could impact you? Either way, this book will tell you everything you need to know in simple, easy-to-understand language with lots of examples of actual content produced by Generative AI.

Readers of AI Made Simple will:

• Gain a beginner-friendly understanding of Generative AI and its potential applications.
• Learn how Generative AI was developed, how it is rapidly changing our world, and why it matters.
• Discover the fascinating ways that Generative AI can be used to create writing, art, and music.
• Explore other innovative applications of Generative AI and the potential they hold.
• Learn practical tips and techniques for using Generative AI to support your creativity.
• Understand the limitations, issues, and ethical concerns surrounding Generative AI.
• Prepare for the disruptions and opportunities presented as Generative AI continues to evolve.

If you are ready to cut through the jargon to understand what Generative AI is all about and how you can use it to your advantage, AI Made Simple is for you. Scroll up to the top and order your copy today.

Boost your coding output and accuracy with artificial intelligence tools

Coding with AI For Dummies introduces you to the many ways that artificial intelligence can make your life as a coder easier. Even if you're brand new to using AI, this book will show you around the new tools that can produce, examine, and fix code for you. With AI, you can automate processes like code documentation, debugging, updating, and optimization. The time saved thanks to AI lets you focus on the core development tasks that make you even more valuable. Learn the secrets behind coding assistant platforms and get step-by-step instructions on how to implement them to make coding a smoother process. Thanks to AI and this Dummies guide, you'll be coding faster and better in no time.

• Discover all the core coding tasks boosted by artificial intelligence
• Meet the top AI coding assistance platforms currently on the market
• Learn how to generate documentation with AI and use AI to keep your code up to date
• Use predictive tools to help speed up the coding process and eliminate bugs

This is a great Dummies guide for new and experienced programmers alike. Get started with AI coding and expand your programming toolkit with Coding with AI For Dummies.

Build a Website with ChatGPT teaches you zero-coding web development utilizing powerful generative AI tools like ChatGPT. If you can open a web browser, you're ready to start building--absolutely no coding experience required.

Inside Build a Website with ChatGPT you'll learn the important skills of AI-assisted web programming, such as:

- Crafting effective prompts to generate HTML, CSS, and JavaScript
- Converting text into images with DALL-E integration
- Building navigation bars, image galleries, and contact forms
- Deploying fully functional sites to the web for free
- Customizing the generated code for unique sites

Inside Build a Website with ChatGPT you'll learn the high-level coding concepts that let you check and perfect AI output, prompting skills that deliver the exact code you need, and how to properly deploy your site to the web--for free! Annotated code samples and advice on code customization give you the perfect balance of understanding and convenience. Plus, you'll get access to a tried-and-tested repository of prompts and working code.

Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.

About the technology

You can build amazing websites even if you don't know HTML, CSS, and JavaScript. Just describe what you want in plain English, and let ChatGPT take care of the gnarly details! This book guides you step-by-step as you create user-friendly forms, interesting graphics, and interactive web pages using nothing but AI and your imagination.

About the book

Build a Website with ChatGPT shows you how to make websites in an AI-first world--no experience required! You'll start with the basics of generating pages with ChatGPT, and by the end of the second chapter your first site will be up and running. Author Paul McFedries then shows you how to add interesting text and graphics, forms for user input, and even custom CSS to give your pages some pizzazz. As you go, you'll expand your new AI skills to create photo galleries, portfolios, catalog pages and more.

What's inside

- Writing effective prompts to create code, text, and graphics
- Adding navigation bars, image galleries, and contact forms
- Deploying your sites to the web for free
- Adding your unique touches to AI-generated pages

About the reader

No experience with web development or programming required. If you can create a Word document, you can build a website!

About the author

Paul McFedries has written over 100 books on web development and other technology topics including Web Design Playground (Manning Publications).

The technical editor on this book was Anirudh V. Prabhu.

Table of Contents

1 Introducing website creation with ChatGPT
2 Creating and deploying your first web page
3 Working with fonts, colors, and headings
4 Adding structure to a page
5 Publishing page posts
6 Adding links and navigation
7 Creating site content
8 Generating site forms
9 Adding lists to your pages
10 Setting up a photo gallery
11 Creating a portfolio page
12 Building an article page
13 Coding an interactive course catalog
A Getting ready to build web pages with ChatGPT
B Deploying your site
C Learning a few ChatGPT best practices

Winning strategies for investors looking to boost gains with artificial intelligence

AI is one of the hottest investment trends on Wall Street. AI Investing For Dummies gives you all the must-know details on how artificial intelligence can benefit investors. You'll learn how powerful AI can be in helping you make better decisions, identify hidden opportunities, and build wealth in stocks, bonds, commodities, and real estate. This easy-to-understand Dummies guide also covers budgeting, taxes, estates, and planning for college and retirement--all with AI-specific tactics that can improve efficiency, mitigate risk, and level up your portfolio's performance. You'll also find all the info you need to sift through and implement the right resources and solutions for you.

• Understand the benefits and drawbacks of AI investing
• Debunk the biggest myths about AI investing
• Get an in-depth analysis of the top AI stocks to watch
• Learn how to avoid common pitfalls in AI investing
• Take a peek at the role of AI in shaping the future of finance

This is the ideal Dummies resource for consumers and investors who are new to AI and want to wrap their heads around this emerging technology.

A comprehensive roadmap to using AI in your career and in your life

Artificial intelligence is everywhere. Major software organizations like Microsoft, Google, and Apple have built AI directly into products and invited the world to become part of the AI revolution. And it's impossible to use these tools to their fullest potential without understanding the basics of what AI is and what it can do.

Artificial Intelligence All-in-One For Dummies compiles insight from the expert authors of AI books in the For Dummies series to provide an easy-to-follow walkthrough for anyone interested in learning how to use AI. You'll learn how to put artificial intelligence to work for you and your company in a wide variety of situations, from creating office assistants to managing projects and marketing your products.

Inside the book:

• How to prompt AI platforms like ChatGPT and Copilot while avoiding hallucinations and other bugs
• Strategies for adding artificial intelligence tools to your company's existing workflows to improve efficiency and generate new opportunities
• Techniques to improve your programming capabilities with AI or create new AI-powered tools

Perfect for professionals curious about the potential and pitfalls associated with generative artificial intelligence, Artificial Intelligence All-in-One For Dummies shows you exactly how AI works and how you can apply it in your own professional and personal life.

Are you ready to harness the transformative power of AI in finance?

AI Mastery for Finance Professionals is the definitive guide for navigating the AI revolution that is reshaping the financial landscape. This book demystifies complex concepts and equips you with the knowledge and tools to leverage AI for smarter decision-making, improved risk management, and unparalleled innovation. As AI removes traditional constraints on scale, scope, and learning, it is redefining how financial institutions create, capture, share, and deliver value. With AI-driven processes enabling unprecedented efficiency, accuracy, and sophistication, the rules of the game are changing. This book is your essential guide to understanding and capitalizing on this transformative technology.

Unlock the power of AI in finance with:

Deep dives into machine learning, deep learning, and cutting-edge AI techniques tailored for financeReal-world applications across trading, investment management, fraud detection, customer service, lending, compliance, and morePractical insights on developing and implementing an AI strategy, building capabilities, measuring value, and managing risksIlluminating case studies, examples, and actionable advice for driving competitive advantage in the age of AI

Don't get left behind in the AI-powered future of finance. Arm yourself with the knowledge and tools to harness the potential of AI, navigate disruption, and lead the way forward. Whether you're a finance leader, professional, or student, this book is your roadmap to success in the era of intelligent technologies.

With a foreword by Brian Chess, Senior Vice President, Technology and AI, Oracle NetSuite Global Business Unit, AI Mastery for Finance Professionals is your key to transforming your career and organization in the AI-powered future of finance.

FOREWORD BY BRAD SMITH, VICE CHAIR AND PRESIDENT OF MICROSOFT

Discover how AI leaders and researchers are using AI to transform the world for the better

In AI for Good: Applications in Sustainability, Humanitarian Action, and Health, a team of veteran Microsoft AI researchers delivers an insightful and fascinating discussion of how one of the world's most recognizable software companies is tackling intractable social problems with the power of artificial intelligence (AI). In the book, you'll see real in-the-field examples of researchers using AI with replicable methods and reusable AI code to inspire your own uses.

The authors also provide:

• Easy-to-follow, non-technical explanations of what AI is and how it works
• Examples of the use of AI for scientists working on mitigating climate change, showing how AI can better analyze data without human bias, remedy pattern recognition deficits, and make use of satellite and other data on a scale never seen before so policy makers can make informed decisions
• Real applications of AI in humanitarian action, whether in speeding disaster relief with more accurate data for first responders or in helping address populations that have experienced adversity with examples of how analytics is being used to promote inclusivity
• A deep focus on AI in healthcare where it is improving provider productivity and patient experience, reducing per-capita healthcare costs, and increasing care access, equity, and outcomes
• Discussions of the future of AI in the realm of social benefit organizations and efforts

An essential guide to impactful social change with artificial intelligence, AI for Good is a must-read resource for technical and non-technical professionals interested in AI's social potential, as well as policymakers, regulators, NGO professionals, and non-profit volunteers.

Implement AI in your organization with confidence while mitigating risk with responsible, ethical guardrails

Much like a baby tiger in the wild, artificial intelligence is almost irresistibly alluring. But, just as those tiger cubs inevitably grow up into formidable and fierce adults, the dangers and risks of AI make it a force unto itself. Useful and profitable, yes, but also inherently powerful and risky.

In Scaling Responsible AI: From Enthusiasm to Execution, celebrated speaker, AI strategist, and tech visionary Noelle Russell delivers an exciting and fascinating new discussion of how to implement artificial intelligence responsibly, ethically, and profitably at your organization. Responsible AI promises immense opportunity, but unguided enthusiasm can unleash serious risks. Learn how to implement AI ethically and profitably at your company with Scaling Responsible AI.

In this groundbreaking book, Noelle Russell reveals an executable framework to:

• Harness AI's full potential while safeguarding your firm's reputation
• Mitigate bias, accuracy, privacy, and cybersecurity risks from the start
• Make informed choices by seeing through the hype and identifying true AI value
• Develop an ethical AI culture across teams and leadership

Scaling Responsible AI equips executives, managers, and board members with the knowledge and responsibility to make smart AI decisions. Avoid compliance disasters, brand damage, or wasted resources on AI that fails to deliver.

Implement artificial intelligence that drives profits, innovation, and competitive edge--the responsible way.

Generative AI in Action is the comprehensive and concrete guide to generative AI you've been searching for. It introduces both AI's fundamental principles and its practical applications in an enterprise context--from generating text and images for product catalogs and marketing campaigns, to technical reporting, and even writing software. Inside, author Amit Bahree shares his experience leading Generative AI projects at Microsoft for nearly a decade, starting well before the current GPT revolution.

Inside Generative AI in Action you will find:

- A practical overview of of generative AI applications
- Architectural patterns, integration guidance, and best practices for generative AI
- The latest techniques like RAG, prompt engineering, and multi-modality
- The challenges and risks of generative AI like hallucinations and jailbreaks
- How to integrate generative AI into your business and IT strategy

Generative AI in Action is full of real-world use cases for generative AI, showing you where and how to start integrating this powerful technology into your products and workflows. You'll benefit from tried-and-tested implementation advice, as well as application architectures to deploy GenAI in production at enterprise scale.

Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.

About the technology

In controlled environments, deep learning systems routinely surpass humans in reading comprehension, image recognition, and language understanding. Large Language Models (LLMs) can deliver similar results in text and image generation and predictive reasoning. Outside the lab, though, generative AI can both impress and fail spectacularly. So how do you get the results you want? Keep reading!

About the book

Generative AI in Action presents concrete examples, insights, and techniques for using LLMs and other modern AI technologies successfully and safely. In it, you'll find practical approaches for incorporating AI into marketing, software development, business report generation, data storytelling, and other typically-human tasks. You'll explore the emerging patterns for GenAI apps, master best practices for prompt engineering, and learn how to address hallucination, high operating costs, the rapid pace of change and other common problems.

What's inside

- Best practices for deploying Generative AI apps
- Production-quality RAG
- Adapting GenAI models to your specific domain

About the reader

For enterprise architects, developers, and data scientists interested in upgrading their architectures with generative AI.

About the author

Amit Bahree is Principal Group Product Manager for the Azure AI engineering team at Microsoft.

The technical editor on this book was Wee Hyong Tok.

Table of Contents

Part 1
1 Introduction to generative AI
2 Introduction to large language models
3 Working through an API: Generating text
4 From pixels to pictures: Generating images
5 What else can AI generate?
Part 2
6 Guide to prompt engineering
7 Retrieval-augmented generation: The secret weapon
8 Chatting with your data
9 Tailoring models with model adaptation and fine-tuning
Part 3
10 Application architecture for generative AI apps
11 Scaling up: Best practices for production deployment
12 Evaluations and benchmarks
13 Guide to ethical GenAI: Principles, practices, and pitfalls
A The book's GitHub repository
B Responsible AI tools

The more you test, the more you learn about your software. Software Testing with Generative AI shows you how you can expand, automate, and enhance your testing with Large Language Model (LLM)-based AI. Your team will soon be delivering higher quality tests, all in less time.

In Software Testing with Generative AI you'll learn how to:

- Spot opportunities to improve test quality with AI
- Construct test automation with the support of AI tools
- Formulate new ideas during exploratory testing using AI tools
- Use AI tools to aid the design process of new features
- Improve the testability of a context with the help of AI tools
- Maximize your output with prompt engineering
- Create custom LLMs for your business's specific needs

Software Testing with Generative AI is full of hype-free advice for supporting your software testing with AI. In it, you'll find strategies from bestselling author Mark Winteringham to generate synthetic testing data, implement automation, and even augment and improve your test design with AI.

Foreword by Nicola Martin.

Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.

About the technology

There's a simple rule in software testing: the more you test, the more you learn. And as any testing pro will tell you, good testing takes time. By integrating large language models (LLMs) and generative AI into your process, you can dramatically automate and enhance testing, improve quality and coverage, and deliver more meaningful results.

About the book

Software Testing with Generative AI shows you how AI can elevate every aspect of testing--automation, test data management, test scripting, exploratory testing, and more! Learn how to use AI coding tools like Copilot to guide test-driven development, get relevant feedback about your applications from ChatGPT, and use the OpenAI API to integrate AI into your data generation. You'll soon have higher-quality testing that takes up less of your time.

What's inside

- Improve test quality and coverage
- AI-powered test automation
- Build agents that act as testing assistants

About the reader

For developers, testers, and quality engineers.

About the author

Mark Winteringham is an experienced software tester who teaches many aspects of software testing. He is the author of Testing Web APIs.

The technical editor on this book was Robert Walsh.

Table of Contents

Part 1
1 Enhancing testing with large language models
2 Large language models and prompt engineering
3 Artificial intelligence, automation, and testing
Part 2
4 AI-assisted testing for developers
5 Test planning with AI support
6 Rapid data creation using AI
7 Accelerating and improving UI automation using AI
8 Assisting exploratory testing with artificial intelligence
9 AI agents as testing assistants
Part 3
10 Introducing customized LLMs
11 Contextualizing prompts with retrieval-augmented generation
12 Fine-tuning LLMs with business domain knowledge
Appendix A Setting up and using ChatGPT
Appendix B Setting up and using GitHub Copilot
Appendix C Exploratory testing notes