Build A Large Language Model From Scratch Amazon
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Internet of Things from Scratch
Author: Renaldi Gondosubroto
language: en
Publisher: Packt Publishing Ltd
Release Date: 2024-02-16
Kickstart your IoT design and implementation journey with this comprehensive book, covering basics to advanced concepts through practical examples and industry-standard practices Key Features Master the different components that make up an IoT system to design and implement solutions Unlock the powerful capabilities of cloud computing that enhance the efficiency of your IoT deployments Integrate cutting-edge technologies, such as with generative AI, into your IoT projects Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDevelop the skills essential for building Internet of Things solutions with this indispensable guide. In an era where industries heavily rely on IoT, this book will quickly familiarize you with its foundations, widespread use, implementation guided by best practices, and the crucial technologies that allow it to work effectively. Starting with the use of IoT in real-life scenarios, this book offers comprehensive insights into basic IoT hardware, protocols, and technologies. You’ll then learn about architecting and implementing solutions such as wireless sensor networks, cloud computing with AWS, and crucial security considerations. You’ll understand how these systems are operated and monitored over time and work with simple to complex, industry-grade systems, adhering to best practices. In later chapters, you’ll be apprised of future IoT trends and strategies to manage the risks and opportunities that come with them. You’ll also get to grips with a diverse set of tools, including hardware such as ESP32 and Raspberry Pi, and software such as Mosquitto and ChatGPT for generative AI capabilities. By the end of this IoT book, you’ll be able to independently build and design complex, industry-standard solutions fully aligned with best practices.What you will learn Gain a holistic understanding of IoT basics through real-life use cases Explore communication protocols and technologies integral to IoT Use AWS to build resilient, low-latency networks Construct complex IoT networks, building upon foundational principles Integrate data analytics workloads and generative AI seamlessly with IoT Understand the security threat landscape of IoT and how to mitigate these risks Develop industry-grade projects within the open source IoT community Embrace a futuristic perspective of IoT by understanding both risks and rewards Who this book is for The book is for novice electronics engineers, embedded systems specialists, and IoT developers as well as intermediate practitioners looking to advance in the world of industry-based IoT applications. While no prior knowledge of IoT is assumed, familiarity with at least one programming language is recommended to get the most out of this book.
Establishing AI-Specific Cloud Computing Infrastructure
As artificial intelligence (AI) continues to drive innovation across industries, the need for specialized cloud computing infrastructure to support AI workloads is critical. Traditional cloud platforms often struggle to meet the high computational demands and storage requirements of AI models, especially as they grow in complexity and scale. Establishing AI-specific cloud computing infrastructure involves designing systems optimized for the needs of AI, such as powerful processing capabilities, massive data storage, and real-time processing. With advancements in hardware like graphics processing units and tensor processing units, along with sophisticated data management solutions, businesses can better harness the full potential of AI technologies. This specialized infrastructure enhances the performance and scalability of AI applications while enabling faster innovation and more efficient deployment of AI-driven solutions across sectors. Establishing AI-Specific Cloud Computing Infrastructure explores how AI has evolved as a transformative new technology, capable of delivering large incremental value to a wide range of sectors. It examines recent advances in innovation, specifically how computing power, data storage, and digitized data have led to AI-based applications for business and governance. This book covers topics such as digital technology, sustainable development, and artificial intelligence, and is a useful resource for computer engineers, business owners, academicians, data scientists, and researchers.
New Horizons in Artificial Intelligence in Libraries
Author: Edmund Balnaves
language: en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date: 2024-12-16
There is increasing use of AI technologies in many aspects of library operations and types of libraries. This ranges across public, national, research, academic and special libraries and includes public and reference services, automated classification, special and research collections, archives and customer service through chatbots and discovery systems. Vendors are also adding elements of AI in new and existing library products including search and discovery and research platforms and recommender systems. The role and impact of AI present opportunities and challenges and open future possibilities. IT plays a significant role in the development and use of AI technologies, but ethical considerations and wider organizational thinking must also play an equally significant role. AI’s uses can have considerable impact and possible unintended consequences on library operations and services and wider societal implications. All of this is considered in this both pragmatic and wider philosophical text. This publication provides an opportunity to explore developing new library AI paradigms, including present use case practical implementation and opportunities on the horizon as well as current large ethics questions and needs for transparency, scenario planning, considerations and implications of bias as library AI systems are developed and implemented presently and for our collective future.