Reading List

AI for Beginners

Want to build your first AI-powered app? Here's a reading list to get you started.
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Build Intelligent Chatbots, Content Generators, and More
by Olivier Caelen and Marie-Alice Blete

This minibook is a comprehensive guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and benefits of GPT-4 and ChatGPT and explain how they work. You'll also get a step-by-step guide for developing applications using the GPT-4 and ChatGPT Python library, including text generation, Q&A, and content summarization tools.

Written in clear and concise language, Developing Apps with GPT-4 and ChatGPT includes easy-to-follow examples to help you understand and apply the concepts to your projects. Python code examples are available in a GitHub repository, and the book includes a glossary of key terms. Ready to harness the power of large language models in your applications? This book is a must.

You'll learn:

  • The fundamentals and benefits of ChatGPT and GPT-4 and how they work
  • How to integrate these models into Python-based applications for NLP tasks
  • How to develop applications using GPT-4 or ChatGPT APIs in Python for text generation, question answering, and content summarization, among other tasks
  • Advanced GPT topics including prompt engineering, fine-tuning models for specific tasks, plug-ins, LangChain, and more
Master ChatGPT, Whisper, and DALL-E APIs by building ten innovative AI projects
by Martin Yanev

Combining ChatGPT APIs with Python opens doors to building extraordinary AI applications. By leveraging these APIs, you can focus on the application logic and user experience, while ChatGPT’s robust NLP capabilities handle the intricacies of human-like text understanding and generation.

This book is a guide for beginners to master the ChatGPT, Whisper, and DALL-E APIs by building ten innovative AI projects. These projects offer practical experience in integrating ChatGPT with frameworks and tools such as Flask, Django, Microsoft Office APIs, and PyQt.

Throughout this book, you’ll get to grips with performing NLP tasks, building a ChatGPT clone, and creating an AI-driven code bug fixing SaaS application. You’ll also cover speech recognition, text-to-speech functionalities, language translation, and generation of email replies and PowerPoint presentations. This book teaches you how to fine-tune ChatGPT and generate AI art using DALL-E APIs, and then offers insights into selling your apps by integrating ChatGPT API with Stripe. With practical examples available on GitHub, the book gradually progresses from easy to advanced topics, cultivating the expertise required to develop, deploy, and monetize your own groundbreaking applications by harnessing the full potential of ChatGPT APIs.

What you will learn

  • Develop a solid foundation in using the ChatGPT API for natural language processing tasks
  • Build, deploy, and capitalize on a variety of desktop and SaaS AI applications
  • Seamlessly integrate ChatGPT with established frameworks such as Flask, Django, and Microsoft Office APIs
  • Channel your creativity by integrating DALL-E APIs to produce stunning AI-generated art within your desktop applications
  • Experience the power of Whisper API's speech recognition and text-to-speech features
  • Discover techniques to optimize ChatGPT models through the process of fine-tuning

Who this book is for

With best practices, tips, and tricks for building applications using the ChatGPT API, this book is for programmers, entrepreneurs, and software enthusiasts. Python developers interested in AI applications involving ChatGPT, software developers who want to integrate AI technology, and web developers looking to create AI-powered web applications with ChatGPT will also find this book useful. A fundamental understanding of Python programming and experience of working with APIs will help you make the most of this book.

Strategies and Best Practices for Using ChatGPT and Other LLMs
by Sinan Ozdemir

The advancement of Large Language Models (LLMs) has revolutionized the field of Natural Language Processing in recent years. Models like BERT, T5, and ChatGPT have demonstrated unprecedented performance on a wide range of NLP tasks, from text classification to machine translation. Despite their impressive performance, the use of LLMs remains challenging for many practitioners. The sheer size of these models, combined with the lack of understanding of their inner workings, has made it difficult for practitioners to effectively use and optimize these models for their specific needs.

Quick Start Guide to Large Language Models: Strategies and Best Practices for using ChatGPT and Other LLMs is a practical guide to the use of LLMs in NLP. It provides an overview of the key concepts and techniques used in LLMs and explains how these models work and how they can be used for various NLP tasks. The book also covers advanced topics, such as fine-tuning, alignment, and information retrieval while providing practical tips and tricks for training and optimizing LLMs for specific NLP tasks.

This work addresses a wide range of topics in the field of Large Language Models, including the basics of LLMs, launching an application with proprietary models, fine-tuning GPT3 with custom examples, prompt engineering, building a recommendation engine, combining Transformers, and deploying custom LLMs to the cloud. It offers an in-depth look at the various concepts, techniques, and tools used in the field of Large Language Models.

Topics covered:

  • Coding with Large Language Models (LLMs)
  • Overview of using proprietary models
  • OpenAI, Embeddings, GPT3, and ChatGPT
  • Vector databases and building a neural/semantic information retrieval system
  • Fine-tuning GPT3 with custom examples
  • Prompt engineering with GPT3 and ChatGPT
  • Advanced prompt engineering techniques
  • Building a recommendation engine
  • Combining Transformers
  • Deploying custom LLMs to the cloud
A Non-Technical Introduction
by Tom Taulli

Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, financial services, and many more. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success.

Artificial Intelligence Basics has arrived to equip you with a fundamental, timely grasp of AI and its impact. Author Tom Taulli provides an engaging, non-technical introduction to important concepts such as machine learning, deep learning, natural language processing (NLP), robotics, and more. In addition to guiding you through real-world case studies and practical implementation steps, Taulli uses his expertise to expand on the bigger questions that surround AI. These include societal trends, ethics, andfuture impact AI will have on world governments, company structures, and daily life.

Google, Amazon, Facebook, and similar tech giants are far from the only organizations on which artificial intelligence has had—and will continue to have—an incredibly significant result. AI is the present and the future of your business as well as your home life. Strengthening your prowess on the subject will prove invaluable to your preparation for the future of tech, and Artificial Intelligence Basics is the indispensable guide that you’ve been seeking.

What You Will Learn

  • Study the core principles for AI approaches such as machine learning, deep learning, and NLP (Natural Language Processing)
  • Discover the best practices to successfully implement AI by examining case studies including Uber, Facebook, Waymo, UiPath, and Stitch Fix
  • Understand how AI capabilities for robots can improve business
  • Deploy chatbots and Robotic Processing Automation (RPA) to save costs and improve customer service
  • Avoid costly gotchas
  • Recognize ethical concerns and other risk factors of using artificial intelligence
  • Examine the secular trends and how they may impact your business
by John Paul Mueller and Luca Massaron

Every time you use a smart device or some sort of slick technology—be it a smartwatch, smart speaker, security alarm, or even customer service chat box—you’re engaging with artificial intelligence (AI). If you’re curious about how AI is developed—or question whether AI is real—Artificial Intelligence For Dummies holds the answers you’re looking for. Starting with a basic definition of AI and explanations of data use, algorithms, special hardware, and more, this reference simplifies this complex topic for anyone who wants to understand what operates the devices we can’t live without.

This book will help you:

  • Separate the reality of artificial intelligence from the hype
  • Know what artificial intelligence can accomplish and what its limits are
  • Understand how AI speeds up data gathering and analysis to help you make informed decisions more quickly
  • See how AI is being used in hardware applications like drones, robots, and vehicles
  • Know where AI could be used in space, medicine, and communication fields sooner than you think

Almost 80 percent of the devices you interact with every day depend on some sort of AI. And although you don’t need to understand AI to operate your smart speaker or interact with a bot, you’ll feel a little smarter—dare we say more intelligent—when you know what’s going on behind the scenes.  So don’t wait. Pick up this popular guide to unlock the secrets of AI today!