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April 20, 2026, 10:04 p.m.
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(Last updated: April 20, 2026, 10:08 p.m.)
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| Lombardi A. Beginning Spring AI. A Quick Guide to AI Engineering in Spring 2025.pdf | 2.0 MB |
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SOURCE: Lombardi A. Beginning Spring AI. A Quick Guide to AI Engineering in Spring 2025
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COVER
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MEDIAINFO
Textbook in PDF format Discover how to use Large Language Models in the Spring Framework. This quick guide equips developers with insights into the strengths and limitations of Spring AI and how to leverage the model for typical use cases. First, you will orient yourself to the new and exciting landscape of AI and Spring integration. You will learn how to issue simple queries, asking the right questions to get the results you want. From there, you will be empowered to select the right model for functionality and refinement, building a simple yet effective chat bot using real-world examples. Additionally, the book explores how to generate images, refine them, and how to send source images when appropriate. Lastly, the book focuses on how Spring AI and LLMs affect the developer landscape, including pitfalls and ethical concerns. Designed for fast adoption, this book provides targeted guidance on integrating AI and LLMs into your projects within days. Through a pragmatic approach, it emphasizes direct utilization of the API. Spring AI represents a cohesive set of abstractions and utilities that bridge your Spring-based applications with leading AI platforms. By simplifying complex integrations, Spring AI empowers you to connect to popular text, image, and audio models using a standardized approach—eliminating the need to learn multiple proprietary APIs or wrestle with inconsistent data formats. Instead, you can leverage a consistent, Spring-friendly programming model to interact with models like ChatGPT, stable diffusion image models, and speech-to-text engines, all within the familiar boundaries of your existing Spring projects. By the end of this book, you’ll have a toolkit that allows you to interact with multiple AI services through a single, coherent approach. Spring AI’s abstraction layers and its deep integration with the broader Spring ecosystem significantly reduce the learning curve. You’ll be able to plug into cutting-edge AI models using a codebase that is both approachable and maintainable—letting you focus on creating value instead of wrestling with technical minutiae. What You Will Learn Explore popular use cases for LLMs Gain insight into the Spring AI module, including its capabilities and limitations Know how to create effective queries and interactions for AI-driven conversations and image generation Discover strategies for selecting an appropriate LLM service and model Acquire skills to AI-proof your job and understand why it is NOT a replacement What This Book Is Spring developers who are new to AI and focused on the essentials without exhaustive framework details. This is an optional supplement to the more comprehensive Apress book, Beginning Spring 6. Introduction Getting Started Asking Questions and Using Data Working with Audio Generating Images Navigating AI in Engineering
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