Generative Ai Powered Assistant For Developers

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Generative AI-Powered Assistant for Developers

Author : Behram Irani
Publisher : Packt Publishing Ltd
ISBN 13 : 1835081207
Total Pages : 416 pages
Book Rating : 4.8/5 (35 download)

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Book Synopsis Generative AI-Powered Assistant for Developers by : Behram Irani

Download or read book Generative AI-Powered Assistant for Developers written by Behram Irani and published by Packt Publishing Ltd. This book was released on 2024-08-30 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage Amazon Q Developer to boost productivity and maximize efficiency by accelerating software development life cycle tasks Key Features First book on the market to thoroughly explore all of Amazon Q Developer’s features Gain an understanding of Amazon Q Developer's capabilities across the software development life cycle through real-world examples Build apps with Amazon Q Developer by auto-generating code in various languages within supported IDEs Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMany developers face the challenge of managing repetitive tasks and maintaining productivity. This book will help you tackle both these challenges with Amazon Q Developer, a generative AI-powered assistant designed to optimize coding and streamline workflows. This book takes you through the setup and customization of Amazon Q Developer, demonstrating how to leverage its capabilities for auto-code generation, code explanation, and transformation across multiple IDEs and programming languages. You'll learn to use Amazon Q Developer to enhance coding experiences, generate accurate code references, and ensure security by scanning for vulnerabilities. The book also shows you how to use Amazon Q Developer for AWS-related tasks, including solution building, applying architecture best practices, and troubleshooting errors. Each chapter provides practical insights and step-by-step guidance to help you fully integrate this powerful tool into your development process. You’ll get to grips with effortless code implementation, explanation, transformation, and documentation, helping you create applications faster and improve your development experience. By the end of this book, you’ll have mastered Amazon Q Developer to accelerate your software development lifecycle, improve code quality, and build applications faster and more efficiently.What you will learn Understand the importance of generative AI-powered assistants in developers' daily work Enable Amazon Q Developer for IDEs and with AWS services to leverage code suggestions Customize Amazon Q Developer to align with organizational coding standards Utilize Amazon Q Developer for code explanation, transformation, and feature development Understand code references and scan for code security issues using Amazon Q Developer Accelerate building solutions and troubleshooting errors on AWS Who this book is for This book is for coders, software developers, application builders, data engineers, and technical resources using AWS services looking to leverage Amazon Q Developer's features to enhance productivity and accelerate business outcomes. Basic coding skills are needed to understand the concepts covered in this book.

Generative AI-Powered Assistant for Developers

Author : Behram Irani
Publisher :
ISBN 13 : 9781835089149
Total Pages : 0 pages
Book Rating : 4.0/5 (891 download)

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Book Synopsis Generative AI-Powered Assistant for Developers by : Behram Irani

Download or read book Generative AI-Powered Assistant for Developers written by Behram Irani and published by . This book was released on 2024-08-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage Amazon Q Developer to boost productivity and maximize efficiency by accelerating software development life cycle tasks Key Features: - First book on the market to thoroughly explore all of Amazon Q Developer's features - Gain an understanding of Amazon Q Developer's capabilities across the software development life cycle through real-world examples - Build apps with Amazon Q Developer by auto-generating code in various languages within supported IDEs - Purchase of the print or Kindle book includes a free PDF eBook Book Description: Many developers face the challenge of managing repetitive tasks and maintaining productivity. This book will help you tackle both these challenges with Amazon Q Developer, a generative AI-powered assistant designed to optimize coding and streamline workflows. This book takes you through the setup and customization of Amazon Q Developer, demonstrating how to leverage its capabilities for auto-code generation, code explanation, and transformation across multiple IDEs and programming languages. You'll learn to use Amazon Q Developer to enhance coding experiences, generate accurate code references, and ensure security by scanning for vulnerabilities. The book also shows you how to use Amazon Q Developer for AWS-related tasks, including solution building, applying architecture best practices, and troubleshooting errors. Each chapter provides practical insights and step-by-step guidance to help you fully integrate this powerful tool into your development process. You'll get to grips with effortless code implementation, explanation, transformation, and documentation, helping you create applications faster and improve your development experience. By the end of this book, you'll have mastered Amazon Q Developer to accelerate your software development lifecycle, improve code quality, and build applications faster and more efficiently. What You Will Learn: - Understand the importance of generative AI-powered assistants in developers' daily work - Enable Amazon Q Developer for IDEs and with AWS services to leverage code suggestions - Customize Amazon Q Developer to align with organizational coding standards - Utilize Amazon Q Developer for code explanation, transformation, and feature development - Understand code references and scan for code security issues using Amazon Q Developer - Accelerate building solutions and troubleshooting errors on AWS Who this book is for: This book is for coders, software developers, application builders, data engineers, and technical resources using AWS services looking to leverage Amazon Q Developer's features to enhance productivity and accelerate business outcomes. Basic coding skills are needed to understand the concepts covered in this book. Table of Contents - Introduction to Generative AI-Powered Assistants - Introducing and Setting Up Amazon Q Developer - Understanding Auto-Code Generation Techniques - Boost Coding Efficiency for Python and Java with Auto-Code Generation - Boost Coding Efficiency for C and C++ with Auto-Code Generation - Boost Coding Efficiency for JavaScript and PHP with Auto-Code Generation - Boost Coding Efficiency for SQL with Auto-Code Generation - Boost Coding Efficiency for Command Line and Shell Script with Auto-Code Generation - Boost Coding Efficiency for JSON, YAML, and HCL with Auto-Code Generation - Customizing Code Recommendations - Understanding Code References - Simplifying Code Explanation, Optimization, Transformation, and Feature Development - Simplifying Scanning and Fixing Security Vulnerabilities in Code - Accelerate Data Engineering on AWS (N.B. Please use the Read Sample option to see further chapters)

AI-Powered Developer

Author : Nathan Crocker
Publisher : Simon and Schuster
ISBN 13 : 1638355711
Total Pages : 0 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis AI-Powered Developer by : Nathan Crocker

Download or read book AI-Powered Developer written by Nathan Crocker and published by Simon and Schuster. This book was released on 2024-10-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use groundbreaking generative AI tools to increase your productivity, efficiency, and code quality. AI coding tools like ChatGPT and GitHub Copilot are changing the way we write code and build software. AI-Powered Developer reveals the practical best practices you need to deliver reliable results with AI. It cuts through the hype, showcasing real-world examples of how these tools ease and enhance your everyday tasks, and make you more creative. In AI-Powered Developer you’ll discover how to get the most out of AI: • Harness AI to help you design and plan software • Use AI for code generation, debugging, and documentation • Improve your code quality assessments with the help of AI • Articulate complex problems to prompt an AI solution • Develop a continuous learning mindset that keeps you up to date • Adapt your development skills to almost any language AI coding tools give you a smart and reliable junior developer that’s fast and keen to help out with your every task and query. AI-Powered Developer helps you put your new assistant to work. You’ll learn to use AI for everything from writing boilerplate, to testing and quality assessment, managing infrastructure, delivering security, and even assisting with software design. About the technology Using AI tools like Copilot and ChatGPT is like hiring a super-smart and super-fast junior developer eager to take on anything from research to refactoring. Coding with AI can help you work faster, write better applications, and maybe do things that aren’t even possible with your current team. This book will show you how. About the book AI-Powered Developer: Build software with ChatGPT and Copilot teaches you in concrete detail how to maximize the impact of AI coding tools in real-world software development. In it, you’ll walk through a complete application, introducing AI into every step of the workflow. You’ll use ChatGPT and Copilot to generate code and ideas, make predictive suggestions, and develop a self-documenting application. You’ll also learn how AI can help test and explain your code. What's inside • Use AI to design and plan software • Code generation, debugging, and documentation • Improve code quality assessments • Work with unfamiliar programming languages About the reader For intermediate software developers. No AI experience necessary. About the author Nathan B. Crocker is Cofounder and CTO at Checker Corp. The technical editor on this book was Nicolai Nielsen. Table of Contents PART 1 1 Understanding large language models 2 Getting started with large language models PART 2 3 Designing software with ChatGPT 4 Building software with GitHub Copilot 5 Managing data with GitHub Copilot and Copilot Chat PART 3 6 Testing, assessing, and explaining with large language models PART 4 7 Coding infrastructure and managing deployments 8 Secure application development with ChatGPT 9 GPT-ing on the go A Setting up ChatGPT B Setting up GitHub Copilot C Setting up AWS CodeWhisperer

AI-Powered Developer

Author : Nathan B. Crocker
Publisher : Manning
ISBN 13 : 9781633437616
Total Pages : 0 pages
Book Rating : 4.4/5 (376 download)

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Book Synopsis AI-Powered Developer by : Nathan B. Crocker

Download or read book AI-Powered Developer written by Nathan B. Crocker and published by Manning. This book was released on 2024-04-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use groundbreaking generative AI tools to increase your productivity, efficiency, and code quality. You just got a promotion! AI coding tools like GitHub Copilot, ChatGPT, and Amazon CodeWhisperer turn every developer into an engineering manager, overseeing a super-smart and super-fast junior coder. In AI-Powered Developer you’ll discover how to get the most out of your new assistant: Harness AI to help you design and plan software Use AI for code generation, debugging, and documentation Improve your code quality assessments with the help of AI Articulate complex problems to prompt an AI solution Develop a continuous learning mindset that keeps you up to date Adapt your development skills to almost any language AI-Powered Developer demonstrates effective techniques and best practices for getting the most out of AI-powered coding using tools like Copilot and ChatGPT. The book cuts through the hype, showcasing real-world examples of how these tools ease and enhance your everyday tasks. You’ll soon be using AI for everything from writing boilerplate to assisting with software design. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the book AI-Powered Developer shows you how to put AI coding tools like Github Copilot and ChatGPT into action. Throughout the book, you’ll generate code and design ideas as you build an IT Asset Management system using AI in every step of the development process. Clear advice and hands-on examples show you how to integrate these tools into your daily workflow. You’ll create self-documenting applications, generate predictive suggestions, and even use AI to test and explain your code. This practical book helps you develop an instinct for AI code and an understanding of what problems AI can and can’t solve. You’ll soon be confident in your transition to this new way to build software, aided by your diligent team of AI assistants. About the reader For software developers familiar with Python. About the author Nathan Crocker is a Managing Director and the Global Head of Core Systems at Galaxy Digital LP., one of the premier financial services and investment management companies in the digital asset and cryptocurrency sector.

Building Intelligent Applications with Generative AI

Author : Yattish Ramhorry
Publisher : BPB Publications
ISBN 13 : 9355519133
Total Pages : 333 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Building Intelligent Applications with Generative AI by : Yattish Ramhorry

Download or read book Building Intelligent Applications with Generative AI written by Yattish Ramhorry and published by BPB Publications. This book was released on 2024-08-22 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: DESCRIPTION Building Intelligent Applications with Generative AI is a comprehensive guide that unlocks the power of generative AI for building cutting-edge applications. This book covers a wide range of use cases and practical examples, from text generation and conversational agents to creative media generation and code completion. These examples are designed to help you capitalize on the potential of generative AI in your applications. Through clear explanations, step-by-step tutorials, and real-world case studies, you will learn how to prepare data and train generative AI models. You will also explore different generative AI techniques, including large language models like GPT-4, ChatGPT, Llama 2, and Google’s Gemini, to understand how they can be applied in various domains, such as content generation, virtual assistants, and code generation. With a focus on practical implementation, this book also examines ethical considerations, best practices, and future trends in generative AI. Further, this book concludes by exploring ethical considerations and best practices for building responsible GAI applications, ensuring you are harnessing this technology for good. By the end of this book, you will be well-equipped to leverage the power of GAI to build intelligent applications and unleash your creativity in innovative ways. KEY FEATURES ● Learn the fundamentals of generative AI and the practical usage of prompt engineering. ● Gain hands-on experience in building generative AI applications. ● Learn to use tools like LangChain, LangSmith, and FlowiseAI to create intelligent applications and AI chatbots. WHAT YOU WILL LEARN ● Understand generative AI (GAI) and large language models (LLMs). ● Explore real-world GAI applications across industries. ● Build intelligent applications with the ChatGPT API. ● Explore retrieval augmented generation with LangChain and Gemini Pro. ● Create chatbots with LangChain and Streamlit for data retrieval. WHO THIS BOOK IS FOR This book is for developers, data scientists, AI practitioners, and tech enthusiasts who are interested in leveraging generative AI techniques to build intelligent applications across various domains. TABLE OF CONTENTS 1. Exploring the World of Generative AI 2. Use Cases for Generative AI Applications 3. Mastering the Art of Prompt Engineering 4. Integrating Generative AI Models into Applications 5. Emerging Trends and the Future of Generative AI 6. Building Intelligent Applications with the ChatGPT API 7. Retrieval Augmented Generation with Gemini Pro 8. Generative AI Applications with Gradio 9. Visualize your Data with LangChain and Streamlit 10. Building LLM Applications with Llama 2 11. Building an AI Document Chatbot with Flowise AI 12. Best Practices for Building Applications with Generative AI 13. Ethical Considerations of Generative AI

Practical Java Programming with ChatGPT

Author : Alan S. Bluck
Publisher : Orange Education Pvt Ltd
ISBN 13 : 8119416791
Total Pages : 409 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Practical Java Programming with ChatGPT by : Alan S. Bluck

Download or read book Practical Java Programming with ChatGPT written by Alan S. Bluck and published by Orange Education Pvt Ltd. This book was released on 2023-11-03 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to use ChatGPT to write fast validated Java code KEY FEATURES ● Discover how to leverage Java code generated with ChatGPT to expedite the development of practical solutions for everyday programming challenges. ● Gain insight into the benefits of harnessing AI to elevate your effectiveness as a software engineer. ● Elevate your professional journey by significantly boosting your programming efficiency to swiftly produce reliable; tested code. ● Harness and validate the potential of ChatGPT; both directly through the ChatGPT Java API and indirectly by leveraging ChatGPT's Java code generation capabilities. DESCRIPTION Embark on a Fascinating Journey into AI-Powered Software Development with ChatGPT. This transformative book challenges the conventional speed of software development by showcasing a diverse array of inquiries directed at cutting-edge AI tools, including Ask AI, ChatGPT 3.5, Perplexity AI, Microsoft Bing Chatbot based on ChatGPT 4.0, and the Phed mobile app. Diving deep into the integration of Java and ChatGPT, this book provides readers with a comprehensive understanding of their synergy in programming. Each carefully crafted question serves as a testament to ChatGPT's exceptional ability to swiftly generate Java programs. The resulting code undergoes rigorous validation using the latest open-source Eclipse IDE and the Java language, empowering readers to craft efficient code in a fraction of the usual time. The journey doesn't end there—this book looks ahead to the promising future of ChatGPT, unveiling exciting potential enhancements planned by OpenAI. These innovations are poised to usher in even more formidable AI-driven capabilities for software development. WHAT WILL YOU LEARN ● Develop NLP Solutions in Java for Mathematical, Content, and Sentiment Analysis. ● Seamlessly Integrate ChatGPT with Java via OpenAI API. ● Harness AI-Powered Code Snippet Generation and Intelligent Code Suggestions. ● Leverage Rapid Idea Prototyping and Validation in Java Development. ● Empower the Creation of Tailored Java Applications. ● Enhance Efficiency and Expedite Prototyping with Instant AI Insights. WHO IS THIS BOOK FOR? This book is tailored for Java Programmers, IT consultants, Systems and Solution Architects with fundamental IT knowledge. It offers practical templates for Java programming solutions, complete with ChatGPT-powered examples. These templates empower Developers working on data processing, mathematical analysis, and document management, facilitating implementations for industries such as Manufacturing, Banking, and Insurance Companies. TABLE OF CONTENTS 1. Getting Started with ChatGPT 2. Java Programming – Best Practices as Stated by ChatGPT 3. Developing Java Code for Utilizing the ChatGPT API 4. Java Program for Using Binary Search 5. Installation of the Latest Open-source Eclipse Java IDE 6. ChatGPT Generated Java Code for Fourier Analysis 7. ChatGPT Generated Java Code for the Fast Fourier Transform 8. ChatGPT Generated Java Code for Indexing a Document 9. ChatGPT-Generated Java Code for Saltikov Particle Distribution 10. ChatGPT-Generated Java Code to Invert a Triangular Matrix 11. ChatGPT Generated Java Code to Store a Document in the IBM FileNet System 12. Conclusions and the Future of ChatGPT for Program Development 13. Appendices for Additional Questions Index

Building Generative AI-Powered Apps

Author : Aarushi Kansal
Publisher : Springer Nature
ISBN 13 :
Total Pages : 175 pages
Book Rating : 4.8/5 (688 download)

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Book Synopsis Building Generative AI-Powered Apps by : Aarushi Kansal

Download or read book Building Generative AI-Powered Apps written by Aarushi Kansal and published by Springer Nature. This book was released on with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt:

TinyML

Author : Pete Warden
Publisher : O'Reilly Media
ISBN 13 : 1492052019
Total Pages : 504 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis TinyML by : Pete Warden

Download or read book TinyML written by Pete Warden and published by O'Reilly Media. This book was released on 2019-12-16 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size

Solutions Architect's Handbook

Author : Saurabh Shrivastava
Publisher : Packt Publishing Ltd
ISBN 13 : 1835084362
Total Pages : 579 pages
Book Rating : 4.8/5 (35 download)

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Book Synopsis Solutions Architect's Handbook by : Saurabh Shrivastava

Download or read book Solutions Architect's Handbook written by Saurabh Shrivastava and published by Packt Publishing Ltd. This book was released on 2024-03-29 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: From fundamentals and design patterns to the latest techniques such as generative AI, machine learning and cloud native architecture, gain all you need to be a pro Solutions Architect crafting secure and reliable AWS architecture. Key Features Hits all the key areas -Rajesh Sheth, VP, Elastic Block Store, AWS Offers the knowledge you need to succeed in the evolving landscape of tech architecture - Luis Lopez Soria, Senior Specialist Solutions Architect, Google A valuable resource for enterprise strategists looking to build resilient applications - Cher Simon, Principal Solutions Architect, AWS Book DescriptionMaster the art of solution architecture and excel as a Solutions Architect with the Solutions Architect's Handbook. Authored by seasoned AWS technology leaders Saurabh Shrivastav and Neelanjali Srivastav, this book goes beyond traditional certification guides, offering in-depth insights and advanced techniques to meet the specific needs and challenges of solutions architects today. This edition introduces exciting new features that keep you at the forefront of this evolving field. Large language models, generative AI, and innovations in deep learning are cutting-edge advancements shaping the future of technology. Topics such as cloud-native architecture, data engineering architecture, cloud optimization, mainframe modernization, and building cost-efficient and secure architectures remain important in today's landscape. This book provides coverage of these emerging and key technologies and walks you through solution architecture design from key principles, providing you with the knowledge you need to succeed as a Solutions Architect. It will also level up your soft skills, providing career-accelerating techniques to help you get ahead. Unlock the potential of cutting-edge technologies, gain practical insights from real-world scenarios, and enhance your solution architecture skills with the Solutions Architect's Handbook.What you will learn Explore various roles of a solutions architect in the enterprise Apply design principles for high-performance, cost-effective solutions Choose the best strategies to secure your architectures and boost availability Develop a DevOps and CloudOps mindset for collaboration, operational efficiency, and streamlined production Apply machine learning, data engineering, LLMs, and generative AI for improved security and performance Modernize legacy systems into cloud-native architectures with proven real-world strategies Master key solutions architect soft skills Who this book is for This book is for software developers, system engineers, DevOps engineers, architects, and team leaders who already work in the IT industry and aspire to become solutions architect professionals. Solutions architects who want to expand their skillset or get a better understanding of new technologies will also learn valuable new skills. To get started, you'll need a good understanding of the real-world software development process and some awareness of cloud technology.

AI-Powered Productivity

Author : Dr. Asma Asfour
Publisher : Asma Asfour
ISBN 13 :
Total Pages : 195 pages
Book Rating : 4./5 ( download)

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Book Synopsis AI-Powered Productivity by : Dr. Asma Asfour

Download or read book AI-Powered Productivity written by Dr. Asma Asfour and published by Asma Asfour. This book was released on 2024-07-29 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, "AI-Powered Productivity," aims to provide a guide to understanding, utilizing AI and generative tools in various professional settings. The primary purpose of this book is to offer readers a deep dive into the concepts, tools, and practices that define the current AI landscape. From foundational principles to advanced applications, this book is structured to cater to both beginners and professionals looking to enhance their knowledge and skills in AI. This book is divided into nine chapters, each focusing on a specific aspect of AI and its practical applications: Chapter 1 introduces the basic concepts of AI, its impact on various sectors, and key factors driving its rapid advancement, along with an overview of generative AI tools. Chapter 2 delves into large language models like ChatGPT, Google Gemini, Claude, Microsoft's Turing NLG, and Facebook's BlenderBot, exploring their integration with multimodal technologies and their effects on professional productivity. Chapter 3 offers a practical guide to mastering LLM prompting and customization, including tutorials on crafting effective prompts and advanced techniques, as well as real-world examples of AI applications. Chapter 4 examines how AI can enhance individual productivity, focusing on professional and personal benefits, ethical use, and future trends. Chapter 5 addresses data-driven decision- making, covering data analysis techniques, AI in trend identification, consumer behavior analysis, strategic planning, and product development. Chapter 6 discusses strategic and ethical considerations of AI, including AI feasibility, tool selection, multimodal workflows, and best practices for ethical AI development and deployment. Chapter 7 highlights the role of AI in transforming training and professional development, covering structured training programs, continuous learning initiatives, and fostering a culture of innovation and experimentation. Chapter 8 provides a guide to successfully implementing AI in organizations, discussing team composition, collaborative approaches, iterative development processes, and strategic alignment for AI initiatives. Finally, Chapter 9 looks ahead to the future of work, preparing readers for the AI revolution by addressing training and education, career paths, common fears, and future trends in the workforce. The primary audience for the book is professionals seeking to enhance productivity and organizations or businesses. For professionals, the book targets individuals from various industries, reflecting its aim to reach a broad audience across different professional fields. It is designed for employees at all levels, offering valuable insights to both newcomers to AI and seasoned professionals. Covering a range of topics from foundational concepts to advanced applications, the book is particularly relevant for those interested in improving efficiency, with a strong emphasis on practical applications and productivity tools to optimize work processes. For organizations and businesses, the book serves as a valuable resource for decision-makers and managers, especially with chapters on data-driven decision-making, strategic considerations, and AI implementation. HR and training professionals will find the focus on AI in training and development beneficial for talent management, while IT and technology teams will appreciate the information on AI tools and concepts.

AI-DRIVEN DATA ENGINEERING TRANSFORMING BIG DATA INTO ACTIONABLE INSIGHT

Author : Eswar Prasad Galla
Publisher : JEC PUBLICATION
ISBN 13 : 9361758756
Total Pages : 237 pages
Book Rating : 4.3/5 (617 download)

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Book Synopsis AI-DRIVEN DATA ENGINEERING TRANSFORMING BIG DATA INTO ACTIONABLE INSIGHT by : Eswar Prasad Galla

Download or read book AI-DRIVEN DATA ENGINEERING TRANSFORMING BIG DATA INTO ACTIONABLE INSIGHT written by Eswar Prasad Galla and published by JEC PUBLICATION. This book was released on with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: .....

Integrating Generative AI in Education to Achieve Sustainable Development Goals

Author : Doshi, Ruchi
Publisher : IGI Global
ISBN 13 :
Total Pages : 563 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Integrating Generative AI in Education to Achieve Sustainable Development Goals by : Doshi, Ruchi

Download or read book Integrating Generative AI in Education to Achieve Sustainable Development Goals written by Doshi, Ruchi and published by IGI Global. This book was released on 2024-06-03 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new challenge has become present in the field of generative artificial intelligence (AI). The fundamental nature of education, a vital element for advancing the United Nations' Sustainable Development Goals (SDGs), now grapples with the transformative impact of AI technologies. As we stand at this intersection of progress and pedagogy, critical questions surface about the future roles of educators and the integrity of assessment processes. AIs rapid progression prompts an exploration of the competencies our education systems must cultivate in a world where human and machine intelligence are becoming increasingly interconnected. Against this backdrop of transformative uncertainty, Integrating Generative AI in Education to Achieve Sustainable Development Goals addresses profound challenges and offers promising solutions at the crossroads of AI and education. This book assembles distinguished academics, researchers, and practitioners, forming a collective voice on the intersection of Generative AI and education. The three-part structure dissects the technical aspects of AI-powered innovations in educational design, explores multidisciplinary applications enhancing educational content, and highlights AI-driven solutions to address equality and inclusion concerns within educational systems. The book also underscores the importance of ethical considerations of generative AI to ensure a future where technology serves the broader goals of sustainability and equitable education.

Generative AI for Effective Software Development

Author : Anh Nguyen-Duc
Publisher : Springer Nature
ISBN 13 : 3031556429
Total Pages : 346 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Generative AI for Effective Software Development by : Anh Nguyen-Duc

Download or read book Generative AI for Effective Software Development written by Anh Nguyen-Duc and published by Springer Nature. This book was released on with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Generative AI in Practice

Author : Bernard Marr
Publisher : John Wiley & Sons
ISBN 13 : 1394245564
Total Pages : 313 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Generative AI in Practice by : Bernard Marr

Download or read book Generative AI in Practice written by Bernard Marr and published by John Wiley & Sons. This book was released on 2024-03-25 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive into the future as we journey through the next frontier of technological advancement Generative AI isn't just the biggest trend right now; it's the pinnacle of today's technological evolution. Beyond the capabilities of ChatGPT and similar AIs that can generate written content and artwork, GenAI is rewriting the rulebook. From crafting intricate industrial designs, writing computer code, and producing mesmerizing synthetic voices to composing enchanting music and innovating genetic breakthroughs, the horizons are limitless. Picture a world where your daily news is read by your favorite celebrity, where video games conjure unparalleled universes in real-time, where machines concoct groundbreaking medicines, and where literature and courses are tailored flawlessly for you. In Generative AI in Practice, renowned futurist Bernard Marr offers readers a deep dive into the captivating universe of GenAI. This comprehensive guide not only introduces the uninitiated to this groundbreaking technology but outlines the profound and unprecedented impact of GenAI on the fabric of business and society. It's set to redefine all our jobs, revolutionize business operations, and question the very foundations of existing business models. Beyond merely altering, GenAI promises to elevate the products and services at the heart of enterprises and intricately weave itself into the tapestry of our daily lives. Through 19 enriching chapters, Marr canvases a vast array of sectors, shedding light on the most innovative real-world GenAI applications through practical examples and how they are molding the contours of various industries including retail, healthcare, education, and finance. Marr discusses the exciting innovations in media and entertainment to the seismic shifts in advertising, customer engagement and beyond, but also critically addresses the risks, challenges, and the future trajectory of GenAI. Throughout the pages of this book, you will: Navigate the complex landscapes of risks and challenges posed by GenAI. Delve into the revolutionary transformation of the job market in the age of GenAI. Discover how retail is evolving with virtual try-ons and AI-powered personalization. Dive deep into the transformative impact on education, offering truly personalized learning experiences. Witness the metamorphosis of healthcare, from AI-aided drug discoveries to custom advice. Explore the boundless potentials in media, design, banking, coding, and even the legal arena. Ideal for professionals, technophiles, and anyone eager to understand the next big thing in technology and its monumental impact on our world, Generative AI In Practice will equip readers with insights on how to implement GenAI, how GenAI is different to traditional AI, and a comprehensive list of generative AI tools in the appendix.

Learn Python Game Development with ChatGPT

Author : Micheal Lanham
Publisher : BPB Publications
ISBN 13 : 9355516436
Total Pages : 408 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Learn Python Game Development with ChatGPT by : Micheal Lanham

Download or read book Learn Python Game Development with ChatGPT written by Micheal Lanham and published by BPB Publications. This book was released on 2024-06-07 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage the power of AI in coding, graphics, design, and intelligence to join the next wave in game development KEY FEATURES ● Teaches the core concepts of game development for 2D, 3D, and AI games. ● Uses AI to assist and guide the reader across several facets of game development. ● Learn to create AI-controlled enemies for your games. DESCRIPTION This book is a comprehensive guide to creating interactive and engaging games, leveraging the capabilities of ChatGPT and other advanced AI technologies. The book starts with prompt engineering and system prompting, building a strong AI foundation for game development. It covers various game genres, from text adventures to 3D shooters, showing AI integration. Each chapter is designed to build on the previous one, ensuring a cohesive learning experience that gradually increases in complexity and depth. Readers will learn game development basics and creative techniques for immersive game worlds. They will use PyZork for text games and Streamlit for enhanced visuals. The book covers AI-generated assets, behavior-driven AI, and advanced topics like isometric world-building and voice-responsive games. Practical projects help readers create their unique games, while GPT agents and AI technologies showcase the future of gaming. By the end of this journey, readers will have a deep understanding of how to create innovative and engaging games using AI, positioning them at the forefront of modern game development. WHAT YOU WILL LEARN ● Master prompt engineering for building games, game assets, and AI-driven games. ● Develop engaging text-based adventures with AI-driven storytelling elements. ● Create 2D games from platformers, isometric worlds, and physics. ● Design AI opponents with behavior-driven logic and adaptive difficulty. ● Introduction to 3D first-person shooters using GPT agents. ● Implement voice recognition and text-to-speech in interactive games. WHO THIS BOOK IS FOR This book is for aspiring or experienced game developers and indie game studios interested in using generative AI to create games faster and explore new possibilities. TABLE OF CONTENTS 1. ChatGPT and the Magic of Prompt Engineering 2. Text Adventure: Entering the Enchanted Realm 3. The AI Chronicles: Text Game Evolution 4. 2D Platformer: Leap into Pixelated Fun! 5. Bot Brawls: AI Opponents Enter the Arena 6. Revving up: Cars, Ramps, and Pymunk 7. Building Isometric Worlds 8. Leveling up with GPT Agents and AutoGen 9. Building a 3D First-Person Shooter 10. Games That Respond to Your Voice 11. The Future Beckons: Developing GPT Games

Generative AI with Amazon Bedrock

Author : Shikhar Kwatra
Publisher : Packt Publishing Ltd
ISBN 13 : 1804618586
Total Pages : 384 pages
Book Rating : 4.8/5 (46 download)

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Book Synopsis Generative AI with Amazon Bedrock by : Shikhar Kwatra

Download or read book Generative AI with Amazon Bedrock written by Shikhar Kwatra and published by Packt Publishing Ltd. This book was released on 2024-07-31 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Become proficient in Amazon Bedrock by taking a hands-on approach to building and scaling generative AI solutions that are robust, secure, and compliant with ethical standards Key Features Learn the foundations of Amazon Bedrock from experienced AWS Machine Learning Specialist Architects Master the core techniques to develop and deploy several AI applications at scale Go beyond writing good prompting techniques and secure scalable frameworks by using advanced tips and tricks Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe concept of generative artificial intelligence has garnered widespread interest, with industries looking to leverage it to innovate and solve business problems. Amazon Bedrock, along with LangChain, simplifies the building and scaling of generative AI applications without needing to manage the infrastructure. Generative AI with Amazon Bedrock takes a practical approach to enabling you to accelerate the development and integration of several generative AI use cases in a seamless manner. You’ll explore techniques such as prompt engineering, retrieval augmentation, fine-tuning generative models, and orchestrating tasks using agents. The chapters take you through real-world scenarios and use cases such as text generation and summarization, image and code generation, and the creation of virtual assistants. The latter part of the book shows you how to effectively monitor and ensure security and privacy in Amazon Bedrock. By the end of this book, you’ll have gained a solid understanding of building and scaling generative AI apps using Amazon Bedrock, along with various architecture patterns and security best practices that will help you solve business problems and drive innovation in your organization.What you will learn Explore the generative AI landscape and foundation models in Amazon Bedrock Fine-tune generative models to improve their performance Explore several architecture patterns for different business use cases Gain insights into ethical AI practices, model governance, and risk mitigation strategies Enhance your skills in employing agents to develop intelligence and orchestrate tasks Monitor and understand metrics and Amazon Bedrock model response Explore various industrial use cases and architectures to solve real-world business problems using RAG Stay on top of architectural best practices and industry standards Who this book is for This book is for generalist application engineers, solution engineers and architects, technical managers, ML advocates, data engineers, and data scientists looking to either innovate within their organization or solve business use cases using generative AI. A basic understanding of AWS APIs and core AWS services for machine learning is expected.

AI Unraveled - Master GPT-x, Gemini, Generative AI, LLMs, Prompt Engineering: A simplified Guide For Everyday Users

Author : Etienne Noumen
Publisher : Etienne Noumen
ISBN 13 :
Total Pages : 147 pages
Book Rating : 4./5 ( download)

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Book Synopsis AI Unraveled - Master GPT-x, Gemini, Generative AI, LLMs, Prompt Engineering: A simplified Guide For Everyday Users by : Etienne Noumen

Download or read book AI Unraveled - Master GPT-x, Gemini, Generative AI, LLMs, Prompt Engineering: A simplified Guide For Everyday Users written by Etienne Noumen and published by Etienne Noumen. This book was released on with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive into the revolutionary world of Artificial Intelligence with 'AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence'. This comprehensive guide is your portal to understanding AI's most intricate concepts and cutting-edge developments. Whether you're a curious beginner or an AI enthusiast, this book is tailored to unveil the complexities of AI in a simple, accessible manner. What's Inside: Fundamental AI Concepts: Journey through the basics of AI, machine learning, deep learning, and neural networks. AI in Action: Explore how AI is reshaping industries and society, diving into its applications in computer vision, natural language processing, and beyond. Ethical AI: Tackle critical issues like AI ethics and bias, understanding the moral implications of AI advancements. Industry Insights: Gain insights into how AI is revolutionizing industries and impacting our daily lives. The Future of AI: Forecast the exciting possibilities and challenges that lie ahead in the AI landscape. Special Focus on Generative AI & LLMs: Latest AI Trends: Stay updated with the latest in AI, including ChatGPT, Google Bard, GPT-4, Gemini, and more. Interactive Quizzes: Test your knowledge with engaging quizzes on Generative AI and Large Language Models (LLMs). Practical Guides: Master GPT-4 with a simplified guide, delve into advanced prompt engineering, and explore the nuances of temperature settings in AI. Real-World Applications: Learn how to leverage AI in various sectors, from healthcare to cybersecurity, and even explore its potential in areas like aging research and brain implants. For the AI Enthusiast: Prompt Engineering: Uncover secrets to crafting effective prompts for ChatGPT/Google Bard. AI Career Insights: Explore lucrative career paths in AI, including roles like AI Prompt Engineers. AI Investment Guide: Navigate the world of AI stocks and investment opportunities. Your Guide to Navigating AI: Do-It-Yourself Tutorials: From building custom ChatGPT applications to running LLMs locally, this book offers step-by-step guides. AI for Everyday Use: Learn how AI can assist in weight loss, social media, and more. 'AI Unraveled' is more than just a book; it's a resource for anyone looking to grasp the complexities of AI and its impact on our world. Get ready to embark on an enlightening journey into the realm of Artificial Intelligence!" More Topics Covered: Artificial Intelligence, Machine Learning, Deep Learning, NLP, AI Ethics, Robotics, Cognitive Computing, ChatGPT, OpenAI, Google Bard, Generative AI, LLMs, AI in Healthcare, AI Investments, and much more. GPT-4 vs Gemini: Pros and Cons Mastering GPT-4: Simplified Guide For everyday Users Advance Prompt Engineering Techniques: [Single Prompt Technique, Zero-Shot and Few-Shot, Zero-Shot and Few-Shot, Generated Knowledge Prompting, EmotionPrompt, Chain of Density (CoD), Chain of Thought (CoT), Validation of LLMs Responses, Chain of Verification (CoVe), Agents - The Frontier of Prompt Engineering, Prompt Chaining vs Agents, Tree of Thought (ToT), ReAct (Reasoning + Act), ReWOO (Reasoning WithOut Observation), Reflexion and Self-Reflection, Guardrails, RAIL (Reliable AI Markup Language), Guardrails AI, NeMo Guardrails] Understanding Temperature in GPT-4: A Guide to AI Probability and Creativity Retrieval-Augmented Generation (RAG) model in the context of Large Language Models (LLMs) like GPT-4 Prompt Ideas for ChatGPT/Google Bard How to Run ChatGPT-like LLMs Locally on Your Computer in 3 Easy Steps ChatGPT Custom Instructions Settings for Power Users Examples of bad and good ChatGPT prompts Top 5 Beginner Mistakes in Prompt Engineering Use ChatGPT like a PRO Prompt template for learning any skill Prompt Engineering for ChatGPT The Future of LLMs in Search What is Explainable AI? Which industries are meant for XAI? ChatGPT Best Tips, Cheat Sheet LLMs Utilize Vector DB for Data Storage The Limitation Technique in Prompt Responses Use ChatGPT to learn new subjects Prompts to proofread anything Topics: Artificial Intelligence Education Machine Learning Deep Learning Reinforcement Learning Neural networks Data science AI ethics Deepmind Robotics Natural language processing Intelligent agents Cognitive computing AI Apps AI impact AI Tech ChatGPT Open AI Safe AI Generative AI Discriminative AI Sam Altman Google Bard NVDIA Large Language Models (LLMs) PALM GPT Explainable AI GPUs AI Stocks AI Podcast Q* AI Certification AI Quiz RAG How to access the AI Unraveled print and audiobook: Amazon print book: https://amzn.to/3xvCfWR Audible at Amazon : https://www.audible.com/pd/B0BXMJ7FK5/?source_code=AUDFPWS0223189MWT-BK-ACX0-343437&ref=acx_bty_BK_ACX0_343437_rh_us (Use Promo code: 37YT3B5UYUYZW) Audiobook at Google: https://play.google.com/store/audiobooks/details?id=AQAAAEAihFTEZM Amazon eBook: https://amzn.to/3KbshkO Google eBook: https://play.google.com/store/books/details?id=oySuEAAAQBAJ Apple eBook: http://books.apple.com/us/book/id6445730691