Generative Ai Driven Application Development With Java

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Generative Ai Driven Application Development With Java

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Author : Satej Kumar Sahu
language : en
Publisher: Springer Nature
Release Date : 2026-01-01

Generative Ai Driven Application Development With Java written by Satej Kumar Sahu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-01 with Computers categories.

This is the first hands-on guide that takes you from a simple “Hello, LLM” to production-ready microservices, all within the JVM. You’ll integrate hosted models such as OpenAI’s GPT-4o, run alternatives with Ollama or Jlama, and embed them in Spring Boot or Quarkus apps for cloud or on-pre deployment. You’ll learn how prompt-engineering patterns, Retrieval-Augmented Generation (RAG), vector stores such as Pinecone and Milvus, and agentic workflows come together to solve real business problems. Robust test suites, CI/CD pipelines, and security guardrails ensure your AI features reach production safely, while detailed observability playbooks help you catch hallucinations before your users do. You’ll also explore DJL, the future of machine learning in Java. This book delivers runnable examples, clean architectural diagrams, and a GitHub repo you can clone on day one. Whether you’re modernizing a legacy platform or launching a green-field service, you’ll have a roadmap for adding state-of-the-art generative AI without abandoning the language—and ecosystem—you rely on. What You Will Learn Establish generative AI and LLM foundations Integrate hosted or local models using Spring Boot, Quarkus, LangChain4j, Spring AI, OpenAI, Ollama, and Jlama Craft effective prompts and implement RAG with Pinecone or Milvus for context-rich answers Build secure, observable, scalable AI microservices for cloud or on-prem deployment Test outputs, add guardrails, and monitor performance of LLMs and applications Explore advanced patterns, such as agentic workflows, multimodal LLMs, and practical image-processing use cases Who This Book Is For Java developers, architects, DevOps engineers, and technical leads who need to add AI features to new or existing enterprise systems. Data scientists and educators will also appreciate the code-first, Java-centric approach.

Applied Ai For Enterprise Java Development

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Author : Alex Soto Bueno
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-11-07

Applied Ai For Enterprise Java Development written by Alex Soto Bueno and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-07 with Computers categories.

As a Java enterprise developer or architect, you know that embracing AI isn't just optional—it's critical to keeping your competitive edge. The question is, how can you skillfully incorporate these groundbreaking AI technologies into your applications without getting mired in complexity? Enter this clear-cut, no-nonsense guide to integrating generative AI into your Java enterprise ecosystem. With insights from authors Alex Soto Bueno, Markus Eisele, and Natale Vinto, you'll learn to marry the robustness of Java's enterprise world with the dynamism of AI. It's more than just a how-to—it's a way to elevate enterprise software with savvy AI integrations, ensuring your skills and your applications remain on the cutting edge. Inside, you'll unlock the power to: Demystify GenAI's role and impact on contemporary software development Craft actionable, AI-driven applications using Java's rich ecosystem of open source frameworks Implement field-tested AI patterns tailored for prod-ready, enterprise-strength applications Access and integrate top-tier open source AI models with Java's Inference APIs Navigate the Java framework landscape with AI-centric agility and confidence

Mastering Spring Ai

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Author : Banu Parasuraman
language : en
Publisher: Springer Nature
Release Date : 2024-12-01

Mastering Spring Ai written by Banu Parasuraman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-01 with Computers categories.

Dive into the future of programming with this comprehensive guide for Java developers to integrate large language models (LLMs) and Generative AI using the Spring Framework. This book comes at a revolutionary time when AI technology is transforming how we implement solutions in various fields, including natural language processing, content generation, and predictive analytics. With its widespread use in the Java community, the Spring Framework is a logical choice for this integration. By focusing on integrating LLMs and GenAI with Spring, this book bridges a significant gap between cutting-edge AI technologies and traditional Java development practices. The author uses a hands-on approach, guiding you through practical implementation to effectively show how to apply theory in real-world situations. Basic introductions of topics—Spring AI, Spring Framework, and other related AI technologies—evolve into advanced integrations to ensure that you find valuable insights regardless of your starting level. Additionally, this book dedicates sections to security and ethical considerations, addressing the pressing issues associated with AI. With a look at emerging trends and future developments, this book prepares you for what's next, ensuring that you are not just catching up with the current state of technology but are also ready for future advancements. What You Will Learn • Master the integration of LLMs and GenAI with the Spring Framework • Develop practical skills in developing AI-driven applications using Java • Gain insights into handling data, security, and ethical considerations in AI applications • Apply strategies for optimizing performance and scalability in AI-enabled applications • Prepare for future AI trends and technologies Who This Book Is For Intermediate to advanced Java developers who are familiar with the Spring Framework, including concepts such as dependency injection, Spring Boot, and building RESTful services. This foundational knowledge will help developers grasp the more advanced topics of integrating AI technologies with Spring. Prior knowledge of basic AI concepts and machine learning is helpful but not essential as the book covers these topics from the ground up.

2024 Yearbook Emerging Technologies In Learning

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Author : Michael E. Auer
language : en
Publisher: Springer Nature
Release Date : 2025-05-29

2024 Yearbook Emerging Technologies In Learning written by Michael E. Auer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-29 with Computers categories.

This book brings together global scholars to examine critical developments in education, from the integration of artificial intelligence (AI) in various educational contexts to the evolving relationship between on-campus, remote, and hybrid learning and the rise of digitally native learners. As educational paradigms shift rapidly in response to globalization, digitization, and technological advances, this book provides a timely exploration of the future of higher education. Organized into three sections, the book delves into: Generative AI in Higher Education—Unpacking the transformative potential and challenges of AI tools in teaching and learning. Remote, Virtual, and Hybrid Teaching in Higher Education—Exploring innovative teaching modalities that redefine classroom boundaries. Educational Research and Emerging Pedagogical Trends in Higher Education—Highlighting cutting-edge research that addresses the evolving demands of modern learners. For educators, researchers, and EdTech professionals, this yearbook serves as an essential resource to stay ahead in the ever-evolving landscape of technology-enhanced learning.

Unlocking The Power Of Auto Gpt And Its Plugins

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Author : Wladislav Cugunov
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-09-13

Unlocking The Power Of Auto Gpt And Its Plugins written by Wladislav Cugunov and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-13 with Computers categories.

Harness the revolutionary power of Auto-GPT and its plugins to transform your projects with advanced AI capabilities Key Features Discover the untapped power of Auto-GPT, opening doors to limitless AI possibilities Craft your own AI applications, from chat assistants to speech companions, with step-by-step guidance Explore advanced AI topics like Docker configuration and LLM integration for cutting-edge AI development Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionUnlocking the Power of Auto-GPT and Its Plugins reveals how Auto-GPT is transforming the way we work and live, by breaking down complex goals into manageable subtasks and intelligently utilizing the internet and other tools. With a background as a self-taught full stack developer and key contributor to Auto-GPT’s Inner Team, the author blends unconventional thinking with practical expertise to make Auto-GPT and its plugins accessible to developers at all levels. This book explores the potential of Auto-GPT and its associated plugins through practical applications. Beginning with an introduction to Auto-GPT, it guides you through setup, utilization, and the art of prompt generation. You'll gain a deep understanding of the various plugin types and how to create them. The book also offers expert guidance on developing AI applications such as chat assistants, research aides, and speech companions, while covering advanced topics such as Docker configuration, continuous mode operation, and integrating your own LLM with Auto-GPT. By the end of this book, you'll be equipped with the knowledge and skills needed for AI application development, plugin creation, setup procedures, and advanced Auto-GPT features to fuel your AI journey.What you will learn Develop a solid understanding of Auto-GPT's fundamental principles Hone your skills in creating engaging and effective prompts Effectively harness the potential of Auto-GPT's versatile plugins Tailor and personalize AI applications to meet specific requirements Proficiently manage Docker configurations for advanced setup Ensure the safe and efficient use of continuous mode Integrate your own LLM with Auto-GPT for enhanced performance Who this book is for This book is for developers, data scientists, and AI enthusiasts interested in leveraging the power of Auto-GPT and its plugins to create powerful AI applications. Basic programming knowledge and an understanding of artificial intelligence concepts are required to make the most of this book. Familiarity with the terminal will also be helpful.

Enriching Linux On Ibm Z Workloads With Ai

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Author : Sambasiva Andaluri
language : en
Publisher: IBM Redbooks
Release Date : 2024-07-03

Enriching Linux On Ibm Z Workloads With Ai written by Sambasiva Andaluri and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-03 with Computers categories.

In the rapidly evolving landscape of technology, the symbiosis between traditional computing platforms and innovative Artificial Intelligence (AI) capabilities has become not just a trend but a necessity. As organizations and individuals seek to harness the power of AI for optimizing workloads, the marriage of Linux and AI emerges as a compelling frontier. This IBM® Redpaper publication discusses the technical intricacies of AI and Machine Learning (ML) within the robust IBM Z® ecosystem, exploring the synergy between Linux-based systems and the transformative potential of AI. It extends into the technical intricacies of integrating AI-enhanced workloads, shedding light on security concerns, and projecting the transformative impact of AI across industries. This exploration encompasses fundamental technical principles, addressing critical aspects of setup, including hardware configurations, software prerequisites, and the nuances of Linux deployment. Readers will gain insights into the technical advantages inherent in leveraging Linux on IBM Z, particularly with the advancements introduced by the IBM z16TM. Case studies dissecting various AI applications in Linux workloads on IBM Z, spanning supervised and unsupervised learning, natural language processing, and time series analysis will be discussed. Nuanced technical discussions cover performance metrics, security considerations, and future trajectories associated with the IBM Telum® processor-a linchpin in advancing AI and ML hardware innovation, are also included. As we delve into the realms of automation, machine learning, and deep learning, the fusion of these two powerful domains unfolds as a catalyst for innovation and efficiency. As we navigate through the enriching landscape of Linux and AI convergence, the goal of this publication is that it serves as a valuable resource, inspiring you to leverage the synergies between these two dynamic domains. Whether you are seeking to optimize workloads, build intelligent systems, or simply explore the limitless possibilities at the intersection of Linux workloads and AI, this publication endeavors to be your companion on this innovative journey. This IBM Redpaper publication is intended for data scientists, Chief Data Officers, and infrastructure personnel looking to leverage existing AI models in a Linux on Z environment without requiring deep knowledge in IBM Z, exploit the AI accelerator, as much and as easily as possible, for models running on Z, gain insights from data in place while remaining secure and compliant, and simplify the AI software installation pipeline keeping your AI software stack up-to-date with the latest versions and capabilities.

Advances In Healthcare Using Machine Learning

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Author : Sriparna Saha
language : en
Publisher: CRC Press
Release Date : 2025-12-09

Advances In Healthcare Using Machine Learning written by Sriparna Saha and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-09 with Science categories.

The technological advancements made in recent decades have not only helped us better comprehend the morphology and physiology of the organs of the human body, but they have also advanced the diagnosis and, therefore, the treatment of a number of diseases in a variety of medical specialties from very early stages. Artificial Intelligence (AI) and Computer Vision (CV) enable us to collect, process, interpret, and analyze a limitless quantity of static and dynamic medical data in real time, which improve the way each disease is characterized and the patients are chosen. Many potentially fatal illnesses, such as COVID-19, pneumonia, and cancer, can be cured if diagnosed in initial stages very early on. Computer-based medical imaging techniques, such as CT scan and X-rays are useful in detecting all of these illnesses. On the other hand, various brain anomalies and heart diseases can also be anticipated using biological signals, like electroencephalography (EEG), electrocardiogram (ECG) etc. The application of machine learning makes the predictions more accurate and help the clinician to detect appropriate one. This helps in faster recognition of disease as well as with the intervention of the technology, makes it feasible to spread to the remote places. The goal of the book is to create machine learning algorithms that aids in the analysis of diverse medical data and the prediction of diseases based on the characteristics of the data.

Practical Java Programming With Chatgpt

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Author : Alan S. Bluck
language : en
Publisher: Sextil Online LLC
Release Date : 2023-11-01

Practical Java Programming With Chatgpt written by Alan S. Bluck and has been published by Sextil Online LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-01 with Computers categories.

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.

Practical Java Programming With Chatgpt Develop Prototype And Validate Java Applications By Integrating Openai Api And Leveraging Generative Ai And Llms

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Author : Alan S.
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2023-11-01

Practical Java Programming With Chatgpt Develop Prototype And Validate Java Applications By Integrating Openai Api And Leveraging Generative Ai And Llms written by Alan S. and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-01 with Computers categories.

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. Book 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 you will 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. Who is this book for?This book is tailored for Java Programmers, IT consultants, and 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

Java For Programmers

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Author : Paul Deitel
language : en
Publisher: Pearson Education
Release Date : 2025-05-21

Java For Programmers written by Paul Deitel and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-21 with Computers categories.

The professional programmer's Deitel® guide to Java with integrated generative AI Written for programmers with a background in another high-level language, in Java for Programmers: with Generative AI, Fifth Edition, you'll learn modern Java development hands on using the latest Java idioms and features and genAIs. In the context of 200+ real-world code examples, you'll quickly master Java fundamentals then move on to arrays, strings, regular expressions, JSON/CSV processing with the Jackson library, private- and public-key cryptography, classes, inheritance, polymorphism, interfaces, dependency injection, exceptions, generic collections, custom generics, functional programming with lambdas and streams, JavaFX GUI, graphics and multimedia, platform threads, virtual threads, structured concurrency, scoped values, building API-based Java genAI apps, database with JDBC and SQLite, the Java Platform Module System and JShell for Python-like interactivity. Features: GenAI Prompt Engineering, API Calls, 600 GenAI Exercises ChatGPT, Gemini, Claude, Perplexity Multimodal: Text, Code, Images, Audio, Speech-to-Text, Text-to-Speech, Video Generics: Collections, Classes, Methods Functional Programming: Lambdas & Streams JavaFX: GUI, Graphics, Multimedia Concurrency: Parallel Streams, Virtual Threads, Structured Concurrency, Scoped Values, Concurrent Collections, Multi-Core Database: JDBC, SQL, SQLite Java Platform Module System (JPMS) Objects Natural: Java API, String, BigInteger, BigDecimal, Date/Time, Cryptography, ArrayList, Regex, JSON, CSV, Web Services JShell for Python-Like Interactivity Want to stay in touch with the Deitels? Contact the authors at [email protected] Join the Deitel social media communities deitel.com/linkedin facebook.com/DeitelFan instagram.com/DeitelFan x.com/deitel youtube.com/DeitelTV mastodon.social/@deitel For source code and updates, visit: deitel.com/javafp5 Reviewer Comments "The future of Java programming is here, and this new edition of Deitel is leading the charge! By embracing genAI head-on, the authors are potentially revolutionizing programming education. Through its integrative approach to the use and study of genAI, this book is positioned to be the leading book in modern Java and its applications. Indeed, I expect that it should be widely adopted by instructors who want to ingrain in their students an appreciation for the critical role that Java will play in data science, machine learning, artificial intelligence, and cybersecurity. "The book's innovative and forward-thinking use of genAI facilitates reader engagement and inspires readers to think critically about the benefits and limitations of AI as a programming aid. Chapter 19 could become everyone's favorite new Java book chapter--the generative AI API-based code examples are interesting and fun. "All audiences of this book should read the Preface--there's so much to get excited about! It demonstrates, with refreshing transparency and honesty, how much love and care went into the reinvention of an already outstanding Java book by bringing it into a new frontier of what it means to be a programmer in today's world. Bravo! Your Preface statement: 'GenAI has created an ultra-high-level programming capability that will leverage your Java learning experience and ability to produce robust, top-quality Java software quickly, conveniently and economically.' is a great conclusion to the Preface intro--really helps justify the use of genAI!" --Brian Canada, Professor of Computational Science, University of South Carolina Beaufort "After reading your whole book, it was fun to read the Preface that wraps everything up at a high level. You have done some amazing work here, and I'm glad to have been a small part of it as a reviewer! I especially appreciate how difficult it must have been to make sure everything was as up to date as possible with the speed at which things change in this field, and the deftness with which you incorporated all the focus on GenAI and data science that's in this book." --Emily Navarro, Ph.D., Continuing Lecturer, Department of Informatics, University of California, Irvine "The generative AI exercises are awesome and reflect the way modern developers work! They are fun and let the reader explore and learn about AI by using AI--how meta. This allows readers to expand their knowledge and get a feel for the AIs' code-related capabilities." --Jeanne Boyarsky, CodeRanch, Java Champion Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details. (Note: eBooks are 4-color and print books are black and white.)