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  Ultimate Generative AI Solutions...

  Arun Pandey

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  Unlock Generative AI's Potential: Transform Ideas into Reality on Google Cloud!
  Book Description
  Generative AI, powered by Google Cloud Platform (GCP), is reshaping industries with its advanced capabilities in automating and enhancing complex tasks. The Ultimate Generative AI Solutions on Google Cloud is your comprehensive guide to harnessing this powerful combination to innovate and excel in your job role. It explores foundational machine learning concepts and dives deep into Generative AI, providing the essential knowledge needed to conceptualize, develop, and deploy cutting-edge AI solutions.
  Within these pages, you'll explore Large Language Models (LLMs), Prompt engineering, Fine-tuning techniques, and the latest advancements in AI, with special emphasis on Parameter-Efficient Fine-Tuning (PEFT) and Reinforcement Learning with Human Feedback (RLHF). You'll also learn about the integration of LangChain and Retrieval-Augmented Generation (RAG) to enhance AI capabilities. By mastering these techniques, you can optimize model performance while conserving resources. The integration of GCP services simplifies the development process, enabling the creation of robust AI applications with ease.
  By the end of this book, you will not only understand the technical aspects of Generative AI but also gain practical skills that can transform your work to drive innovation and boost operational efficiency with Generative AI on GCP.
  Table of Contents
  1. Generative AI Essentials
  2. Google Cloud Basics
  3. Getting Started with Large Language Models
  4. Prompt Engineering and Contextual Learning
  5. Fine-Tuning a Large Language Model
  6. Parameter-Efficient Fine-Tuning (PEFT)
  7. Reinforcement Learning with Human Feedback
  8. Model Optimization
  9. LLMOps for Managing and Monitoring AI Projects
  10. Harnessing RAG and LangChain
  11. Case Studies and Real-World Implementations       
  
  Index

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  Inside Cyber Warfare - Mapping...

  Jeffrey Caruso

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  Get a fascinating and disturbing look into how state and nonstate actors throughout the world use cyber attacks to gain military, political, and economic advantages. In the third edition of this book, cyber warfare researcher Jeffrey Caruso explores the latest advances in cyber espionage and warfare that have emerged on the battlefields of Ukraine and the Middle East. 
   
   
   
  Inside Cyber Warfare features an exclusive deep dive into the wartime operations of an offensive cyber unit of Ukraine's Ministry of Defense as it works to defend the nation against Russian forces, particularly since the 2022 invasion: 
   
   
   
  ● See what happened when a Ukrainian cyber and special operations team worked together to destroy a secret missile laboratory 
   
   
   
  ● Explore the legal status of cyber warfare and civilian hackers 
   
   
   
  ● Discover how a cyber team with little money and limited resources learned to create fire from the manipulation of code in automated systems 
   
   
   
  ● Distinguish reality from fiction regarding AI safety and existential risk 
   
   
   
  ● Learn new strategies for keeping you and your loved ones safe in an increasingly complex and insecure world

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  Python Machine Learning for...

  Brian Murray

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  "Python Machine Learning Essentials: Build Your First AI Application" is a comprehensive guide for beginners who want to learn machine learning with Python. In this book, you will learn the foundations of machine learning, including different types of algorithms and the importance of data preprocessing. You will also learn how to build your first AI application, from collecting and preprocessing data to building and training a model, and then deploying and testing the application. 
  As you progress through the book, you will explore advanced machine learning techniques such as deep learning and convolutional neural networks for image recognition. You will also learn how to apply machine learning to real-world problems, such as building a spam filter, predicting stock prices, and performing sentiment analysis. 
  Throughout the book, you will learn best practices for machine learning in Python, including tips for efficient data preprocessing, strategies for selecting the right machine learning algorithm, techniques for optimizing model performance, and debugging common errors. 
  By the end of the book, you will have the skills and knowledge needed to build your own machine learning applications with Python. Whether you're new to programming or have experience in other languages, "Python Machine Learning Essentials: Build Your First AI Application" will help you unlock the power of artificial intelligence and take your skills to the next level. 
   

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  Second-Chance Horses - True...

  Callie Smith Grant

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  From miniature donkeys to enormous draft horses, from regal Arabian stallions to sassy Shetland ponies, horses and other equines bring us delight and comfort whenever we encounter them. Even more so, perhaps, when humans and horses are brought together through a rescue. Whether someone has started a rescue ranch on purpose or circumstances align to match up the right horse with the right person, stories of second chances warm our hearts and restore our hope. 
   
  This emotional and inspiring collection of true stories introduces you to a pony who helps a little girl get over her fear of riding, a donkey who discovers his purpose protecting vulnerable lambs, blind horses who teach their human about courage, and even a pony who somehow figures out how to drive a golf cart. By turns humorous and heartwarming, these delightful tales are the perfect companion for those times you long to slow down, take a load off, and enjoy the ride.

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  Continuous Improvement (Kaizen)

  May Sherry

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  In a world where change is the only constant, Continuous Improvement (Kaizen) stands out as a proven approach to achieving excellence and sustained success. "Continuous Improvement (Kaizen): Embracing a Culture of Incremental Progress" offers a comprehensive guide to understanding and implementing Kaizen principles in both organizational and personal contexts. 
  Rooted in Japanese management philosophy, Kaizen emphasizes the power of incremental changes and employee involvement to drive continuous progress. This book delves into the core principles of Kaizen, exploring its historical background, key techniques, and practical applications. From the foundational concepts of 5S and the PDCA cycle to real-world case studies of successful Kaizen implementations, readers will gain valuable insights into how small, consistent improvements can lead to significant long-term gains. 
  Ideal for leaders, managers, and individuals seeking to foster a culture of continuous improvement, this book provides actionable strategies for creating a Kaizen-driven environment. Discover how to engage employees, overcome common challenges, and measure the impact of your improvement efforts. Whether you’re looking to enhance organizational performance, advance personal development, or apply Kaizen principles to community projects, this book offers the tools and knowledge you need to make lasting progress. 
  With a forward-looking perspective on emerging trends and global perspectives, "Continuous Improvement (Kaizen)" equips you with the strategies to not only implement Kaizen effectively but also to sustain and evolve it in the face of future challenges. Embrace the Kaizen philosophy and unlock the potential of continuous improvement in every aspect of your life and work. 
   

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  What Makes Us Human - An...

  GPT-3, Iain Thomas, Jasmine Wang

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  A groundbreaking endeavor to explore human spirituality through the evolving technology of artificial intelligence

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