学习、联系、构建

Microsoft Reactor

加入 Microsoft Reactor 并实时与开发人员互动

准备好开始使用 AI 和最新技术了吗？ Microsoft Reactor 提供活动、培训和社区资源，帮助开发人员、企业家和初创公司利用 AI 技术等。快加入我们吧！

学习、联系、构建

Microsoft Reactor

加入 Microsoft Reactor 并实时与开发人员互动

准备好开始使用 AI 和最新技术了吗？ Microsoft Reactor 提供活动、培训和社区资源，帮助开发人员、企业家和初创公司利用 AI 技术等。快加入我们吧！

Seattle Java User Group Meetup - May

23 五月, 2025 | 1:00 上午 - 3:00 上午 (UTC) 协调世界时

位置: Redmond

地址: Redmond Reactor 3709 157th Ave NE, Redmond, WA 98052

形式:
亲自 (Redmond)
直播

主题: 编码、语言和框架

语言: 英语

Brian Benz: Seamless AI Integration for Java: From Exploration to Deployment
Curious how to embed advanced AI functionality into your Java applications without refactoring? In this session, we'll walk through experimenting with cutting-edge models to deploying production-ready solutions at scale, leveraging LLMs, GitHub Copilot, GitHub Models, Model Context Protocol (MCP) and more in your favorite Java IDEs.

Julien Dubois: Building an AI agent with Structured Outputs, Function Calling, and MCP

AI agents are programs that can act autonomously: to do this, they must be able to communicate programmatically with an LLM and perform actions.

In this session, we will explore:

Structured Outputs: how to require an LLM to respond following a JSON schema, allowing to map the result to Java objects
Function Calling: how to define and call Java functions from within an AI model
MCP: the new protocol that standardizes how LLMs communicate with different data sources and tools

We will use the code, demos, and documentation I created to implement these features in LangChain4j using OpenAI's brand-new Java SDK.