Ai Powered Apps
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AI-Powered Apps
""AI-Powered Apps"" presents a comprehensive exploration of how artificial intelligence is revolutionizing mobile application development, focusing on the intersection of AI technologies and user-centric mobile experiences. The book masterfully bridges the gap between theoretical AI concepts and practical implementation, offering readers a structured journey through machine learning algorithms, personalization frameworks, and predictive user interaction systems in mobile environments. At its core, the book demonstrates how modern applications are evolving from simple reactive interfaces into sophisticated, proactive systems that can anticipate user needs and adapt accordingly. Drawing from extensive research, including data from over 1,000 AI-enhanced applications and real-world case studies from leading tech companies, it provides concrete examples of how AI transforms conventional apps into intelligent platforms. The book's unique value lies in its practical approach, offering detailed architectural patterns and decision trees that help developers and architects make informed choices about AI integration. The content progresses logically from foundational concepts to advanced implementations, with each chapter building upon previous knowledge while providing actionable insights. Readers will find particular value in the book's treatment of critical challenges, such as mobile device processing constraints and privacy considerations, alongside practical solutions for optimizing AI performance within these limitations. Through a blend of technical specifications, code examples, and strategic guidance, the book serves as both an implementation manual and a strategic roadmap for professionals looking to harness AI's potential in mobile development.
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.
Artificial Intelligence, Data Science and Applications
This book is to provide a comprehensive reference for professionals in the field of data science and applications: artificial intelligence, big data, IoT, and blockchain. In summary, this book is expected to function as a helpful resource and manual, enabling readers to navigate the intricate domain of artificial intelligence, the Internet of things (IoT), and blockchain in smart environments. This book covers many topics related to integrating AI, IoT, blockchain, and smart environments. It begins by laying a solid foundation, introducing each technology's fundamental concepts and principles. Subsequent chapters explore applications and real-world use cases, demonstrating how AI, IoT, and blockchain can effectively address critical challenges within data science and applications.