Building Generative Ai Powered Apps
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Building Generative AI-Powered Apps
Generative AI has gone beyond the responsibility of researchers and data scientists and is being used by production engineers. However, there is a lot of confusion where to get started when building an end-to-end app with generative AI. This book consolidates core models, frameworks, and tools into a single source of knowledge. By providing hands-on examples, the book takes you through the generative AI ecosystem to build applications for production. The book starts with a brief and accessible introduction to transformer models before delving into some of the most popular large language models and diffusions models (image generation). These models are the foundations of both AI and your potential new apps. You will then go through various tools available to work with these models, starting with Langchain, a framework to develop foundational models, which is the next building block you should grasp after understanding generative AI models. The next chapters cover databases, caching, monitoring, etc., which are the topics necessary to build larger-scale applications. Real-world examples using these models and tools are included. By the end of this book, you should be able to build end-to-end apps that are powered by generative AI. You also should be able to apply the tools and techniques taught in this book to your use cases and business. What You Will Learn What is Generative AI? What is ChatGPT and GPT4? What are language models and diffusions models? How do we deploy LangChain and HuggingFace? Who This Book Is For Software engineers with a few years of experience building applications in any language or infrastructure
Power Apps Tips, Tricks, and Best Practices
Author: Andrea Pinillos
language: en
Publisher: Packt Publishing Ltd
Release Date: 2024-11-15
Build scalable Power Apps with data connections, Copilot integration, advanced formulas, and filtering. Learn Power Fx, UI design, app lifecycle, and integration techniques in this hands-on guide for low-code professionals. Key Features Understand overall project planning and manage your apps across different environments and solutions Learn how Power Apps can be integrated with other applications to extend the functionality Incorporate Copilot with Power Apps to create a customized solution Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMicrosoft Power Apps is ideal for businesses seeking to digitally transform their operations by developing custom applications quickly and efficiently, without the heavy investment required for software development. This book leverages the authors’ combined experience in Power Platform, among others, to lay down the foundation for successful app development, focusing on defining project scope and understanding requirements. In this book, you’ll go through several key development areas, including solution creation and Power Platform environments, both critical areas for effective app development and deployment. You'll also discover best practices for choosing when to build a canvas app or a model-driven app based on project requirements and data connections. The chapters will take you through advanced development techniques and show you how to integrate Power Apps with other applications. You'll get a clear understanding of the key aspects of governance, security, app maintenance, and error handling, ensuring that your Power Apps solutions are not only effective but also secure and sustainable. By the end, you’ll confidently create scalable, secure, and maintainable Power Apps for your business needs.What you will learn Understand different data connections to define overall project planning Explore advanced development techniques such as filtering data, using variables and collections, formulas, and conditional formatting Uncover how Power Apps can be integrated with other apps such as Power Automate, Power BI, SharePoint, Teams, and Outlook Find out how to apply governance and security Discover best practices for app maintenance and handling errors Learn how to register an app in Microsoft Azure Set up Copilot for your project using Copilot Studio Who this book is for This book is for business analysts, IT professionals, and both developers and non-developers. If you’re interested in improving your app development skills, this book is for you. A basic understanding of Microsoft 365 and Power Apps is recommended. Familiarity with other Power Platform applications, such as Power Automate and Power BI, is helpful but not necessary.
Building LLM Powered Applications
Author: Valentina Alto
language: en
Publisher: Packt Publishing Ltd
Release Date: 2024-05-22
Get hands-on with GPT 3.5, GPT 4, LangChain, Llama 2, Falcon LLM and more, to build LLM-powered sophisticated AI applications Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Key Features Embed LLMs into real-world applications Use LangChain to orchestrate LLMs and their components within applications Grasp basic and advanced techniques of prompt engineering Book DescriptionBuilding LLM Powered Applications delves into the fundamental concepts, cutting-edge technologies, and practical applications that LLMs offer, ultimately paving the way for the emergence of large foundation models (LFMs) that extend the boundaries of AI capabilities. The book begins with an in-depth introduction to LLMs. We then explore various mainstream architectural frameworks, including both proprietary models (GPT 3.5/4) and open-source models (Falcon LLM), and analyze their unique strengths and differences. Moving ahead, with a focus on the Python-based, lightweight framework called LangChain, we guide you through the process of creating intelligent agents capable of retrieving information from unstructured data and engaging with structured data using LLMs and powerful toolkits. Furthermore, the book ventures into the realm of LFMs, which transcend language modeling to encompass various AI tasks and modalities, such as vision and audio. Whether you are a seasoned AI expert or a newcomer to the field, this book is your roadmap to unlock the full potential of LLMs and forge a new era of intelligent machines.What you will learn Explore the core components of LLM architecture, including encoder-decoder blocks and embeddings Understand the unique features of LLMs like GPT-3.5/4, Llama 2, and Falcon LLM Use AI orchestrators like LangChain, with Streamlit for the frontend Get familiar with LLM components such as memory, prompts, and tools Learn how to use non-parametric knowledge and vector databases Understand the implications of LFMs for AI research and industry applications Customize your LLMs with fine tuning Learn about the ethical implications of LLM-powered applications Who this book is for Software engineers and data scientists who want hands-on guidance for applying LLMs to build applications. The book will also appeal to technical leaders, students, and researchers interested in applied LLM topics. We don’t assume previous experience with LLM specifically. But readers should have core ML/software engineering fundamentals to understand and apply the content.