Developing Ai Applications
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A Developer's Guide to Building AI Applications, 2nd Edition
AI is everywhere. Once the sole domain of researchers and institutions, this technology has emerged in a wide variety of areas, including network infrastructure, platforms, and services. With AI, software developers now have the means to build a variety of intelligent solutions. This report lets you check out AI's possibilities hands-on. You'll learn how to create a virtual assistant-a conversational AI application that can understand language, perceive vast amounts of information, and respond intelligently. Authors Elaine Chang and Darren Jefford will guide you through the many AI resources and capabilities now available to developers. Jump in and discover powerful and innovative ways to approach hard-to-solve problems. You'll explore: How artificial intelligence works in the cloud Azure AI's services, infrastructure, and tools for developing AI apps Microsoft's Bot Framework ecosystem and the lifecycle of conversational AI app development How to use Bot Framework to deliver tailored conversational assistant experiences Expert guidance for developing your conversational AI app Channels and adapters that help conversational experiences reach end users Analytics tools for conversational AI applications How Azure AI encourages you to create responsible and trustworthy solutions.
Developing AI Applications With Large Language Models
In my previous book Large Language Models (LLms), I explained and discussed about the intricacies of Large Language Models (LLMs), giving readers a comprehensive understanding of these powerful technologies. This book takes that knowledge a step further, focusing on the practical side of developing AI applications using LLMs. It is designed to be a hands-on, step-by-step guide to building AI solutions. Over the years, I’ve been fascinated by the many possibilities AI offers, and I’ve come to realize that many people, from developers to researchers, want to build real-world applications but often don’t know where to start. That’s why I decided to write this book because I believe that with the right guidance, anyone can harness the full potential of LLMs to create meaningful and impactful AI-driven solutions. My book covers a wide range of practical applications, including in industries like healthcare, film production, music, video, and language translation. I also explore how AI can empower researchers and innovators in countless fields. By breaking down complex topics such as tokenization, attention mechanisms, and transformer architecture in an approachable way, I want to help you understand these essential concepts and how to apply them to build your own AI applications. Throughout this journey, you’ll learn not just how to set up your development environment and choose the right models, but also how to use the most powerful tools available to create applications like chatbots, virtual assistants, and much more. I’ve made sure to emphasize key aspects such as prompt engineering, fine-tuning pretrained models, and adapting LLMs to industries such as healthcare and finance, where they can make the most significant impact. But this book isn’t just about building great technology. It’s also about building responsible technology. I’ve dedicated a section to the ethical challenges that come with working in AI, such as bias and fairness, and I offer strategies for developing scalable AI applications that are both effective and ethical. The motivation behind writing this book is simple: I want to empower you to unlock the potential of LLMs in practical ways. I’ve had the privilege of exploring and developing with AI over the years, and I want to share that experience with you. Whether you’re a developer looking to expand your skills, a researcher trying to integrate AI into your work, or an entrepreneur hoping to revolutionize an industry, this book is meant to be your guide. This book is for anyone eager to explore the practical development of AI applications using Large Language Models. Whether you’re just getting started with AI or looking to enhance your skills, you’ll find something here that speaks to you. It’s particularly suited for: Developers who want to dive deeper into building AI applications, from chatbots to complex AI systems. Researchers who are looking to integrate LLMs into their projects for tasks like data analysis, language translation, or summarization. Industry professionals in fields like healthcare, finance, and entertainment who want to leverage AI to innovate and enhance their business. AI enthusiasts and students who are passionate about AI and want to build practical, real-world applications. By the end of this book, my hope is that you’ll feel confident not only in your understanding of how LLMs work, but also in your ability to apply them to create powerful, responsible AI applications across many different domains.
Building AI Applications with OpenAI APIs
Improve your app development skills by building a ChatGPT clone, code bug fixer, quiz generator, translation app, email auto-reply, PowerPoint generator, and more Key Features Transition into an expert AI developer by mastering ChatGPT concepts, including fine-tuning and integrations Gain hands-on experience through real-world projects covering a wide range of AI applications Implement payment systems in your applications by integrating the ChatGPT API with Stripe Purchase of the print or Kindle book includes a free PDF eBook Book Description Unlock the power of AI in your applications with ChatGPT with this practical guide that shows you how to seamlessly integrate OpenAI APIs into your projects, enabling you to navigate complex APIs and ensure seamless functionality with ease. This new edition is updated with key topics such as OpenAI Embeddings, which’ll help you understand the semantic relationships between words and phrases. You’ll find out how to use ChatGPT, Whisper, and DALL-E APIs through 10 AI projects using the latest OpenAI models, GPT-3.5, and GPT-4, with Visual Studio Code as the IDE. Within these projects, you’ll integrate ChatGPT with frameworks and tools such as Flask, Django, Microsoft Office APIs, and PyQt. You’ll get to grips with NLP tasks, build a ChatGPT clone, and create an AI code bug-fixing SaaS app. The chapters will also take you through speech recognition, text-to-speech capabilities, language translation, generating email replies, creating PowerPoint presentations, and fine-tuning ChatGPT, along with adding payment methods by integrating the ChatGPT API with Stripe. By the end of this book, you’ll be able 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 OpenAI API for NLP tasks Build, deploy, and integrate payments into various desktop and SaaS AI applications Integrate ChatGPT with frameworks such as Flask, Django, and Microsoft Office APIs Unleash your creativity by integrating DALL-E APIs to generate stunning AI art within your desktop apps Experience the power of Whisper API's speech recognition and text-to-speech features Find out how to fine-tune ChatGPT models for your specific use case Master AI embeddings to measure the relatedness of text strings Who this book is for This book is for a diverse range of professionals, including programmers, entrepreneurs, and software enthusiasts. Beginner programmers, Python developers exploring AI applications with ChatGPT, software developers integrating AI technology, and web developers creating AI-powered web applications with ChatGPT will find this book beneficial. Scholars and researchers working on AI projects with ChatGPT will also find it valuable. Basic knowledge of Python and familiarity with APIs is needed to understand the topics covered in this book.