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/-73.98500061,40.75304794,13,0,0/550x200?access_token=pk.eyJ1IjoiZ2FyeXNndWlkZSIsImEiOiJjamtobmRiYmgwb3gwM3F1a2o2Mmd0YWw3In0.DinA62CR3-OKtf3axa5O7Q)
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Dive into the world of Java/AI with Quarkus & LangChain4j - an event you don't want to miss!
Join us for a guided tour through the possibilities of the LangChain4j framework! Chat with virtually any LLM provider (OpenAI, Gemini, HuggingFace, Azure, AWS, ...)? Generate AI images straight from your Java application with Dall-E & Gemini? Have LLMs return POJOs? Interact with local models on your machine? LangChain4j makes it a piece of cake! We will explain the fundamental building blocks of LLM-powered applications, show you how to chain them together into AI Services, & how to interact with your knowledge base using advanced RAG.
Then, we take a deeper dive into the Quarkus LangChain4j integration. We'll show how little code is needed when using Quarkus, how live reload makes experimenting with prompts a breeze & finally, we'll look at its native image generation capabilities, aiming to get your AI-powered app deployment-ready in no time.
Eric Deandra is a Java Champion & Senior Principal Software Engineer with over 26 years of experience in designing & building Java-based solutions. Specializes in application development technologies including Quarkus & Spring Boot. Passionate about open-source software, prolific contributor to open-source projects, & an active speaker at industry events & user group meetups around the world. Published author of Quarkus for Spring Developers book & numerous industry articles on sites such as DZone, InfoQ, Red Hat Developer, & quarkus.io. Primary maintainer of the Quarkus Superheroes sample/reference application, created in 2021 & continually evolving. Boston Java Users ACM Chapter board member.
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