Über uns
- At the San Francisco JUG you get to meet other local Java professionals and talk about code, architecture, innovation, opportunities, and share ideas about real-world problems. Want to submit a talk? Contact us via the meetup page, or at @pieterhumphrey on Twitter.
- Recordings are posted on our YouTube channel
- https://www.youtube.com/c/sfjava
- Our meetings are technically focused and often include expert speakers on Java-related topics.
- We welcome both beginners and gurus, both developers and managers, both geeks and professionals.
- We typically meet on Wednesdays from 6:30-8pm of each month and our meetings are FREE and OPEN to the public.
- If you're new, please refer to a Code of Conduct that we expect from our community members, adapted from the Contributor Covenant via http://coc.eddiehub.org/
- If you are an employer, a recruiter, or simply someone looking for Java employment opportunities, check out Discussions -> Message Board -> Job Listings (you can track this forum to get email notifications)
- Follow us at @sfjug!
- Your hosts,
- @pieterhumphrey & @crichardson & @djrooz
- Sponsored by @mariadb @logic2020 and @JavaAtMicrosoft
Bevorstehende Events (2)
Alles ansehen- Java meets AI: Build LLM-Powered Apps with LangChain4jElastic, N.V. SF Office, San Francisco, CA
In person at the Elastic San Francisco office -- registration required to access the building and see the address. In-person Registration is cut off is the morning of the event, so register beforehand!
Presenter is remote, but you're welcome to attend in person or via Zoom:
https://elastic.zoom.us/j/93623154676?pwd=madaBcupQ0YFv6As12Qxm1z33MOhFX.1Join 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 and 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, and 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 and finally, we'll look at its native image generation capabilities, aiming to get your AI-powered app deployment-ready in no time.
By the end of this session, you will have all the technical knowledge to get your hands dirty, along with plenty of inspiration for designing the apps of the future.
Speaker:
Eric Deandrea is a Java Champion & Senior Principal Developer Advocate at Red Hat, focusing on application development technologies. Eric has over 25 years of experience designing and building Java-based solutions and developer training programs. He is a contributor to various OSS projects, including Quarkus, Spring, LangChain4j, WireMock, and Microcks, as well as a speaker at many public events and user groups around the world. Eric recently put his Quarkus and Spring knowledge to use by publishing his first book, “Quarkus for Spring Developers (https://red.ht/quarkus-spring-devs).” Outside of work, Eric enjoys boating on the lakes of New Hampshire, ice hockey, and martial arts, in which he holds a black belt in Kempo Karate.
