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.

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 .

Takes a direct focus on pragmatic use of Spring AI Allows for quick access to a new Spring module within days Teaches how to efficiently onboard AI and LLM into real-world projects

Autorentext

Andrew Lombardi is a veteran entrepreneur and software engineer. He has been running the consulting firm Mystic Coders for 25 years, authored multiple kick-ass books on Spring for Apress and WebSocket for O'Reilly, coding, speaking internationally and offering technical guidance to companies as large as Airbus and companies as controversial and unique as Twitter 1.0. He firmly believes that the best thing he has done so far is being a great dad. Joseph B. Ottinger is a distributed systems architect with experience in many cloud platforms. He was the editor-in-chief of both Java Developer Journal and TheServerSide.com, and has also contributed to many publications, open source projects, and commercial projects over the years, using many different languages (but primarily Java, Python, and JavaScript). He was also a previously published author online (with too many publications to note individually) and in print, through Apress.

Inhalt

Chapter 1: Introduction.- Chapter 2: Getting Started.- Chapter 3: Asking Questions and Using Data.- Chapter 4: Working with Audio.- Chapter 5: Generating Images.- Chapter 6: Navigating AI in Engineering: Challenges and Best Practices .