About us
The Garden State Java User Group, Inc. (formerly the ACGNJ Java Users Group), in continuous operation since February 2001, is a 501(c)(3) non-profit organization that provides a forum to promote the use of Java platforms, APIs, and language. We strive to facilitate interactive discussions and exchange of ideas relating to the application of Java.
Topics will primarily focus on JVM technologies such as Java EE, Jakarta EE, MicroProfile, Spring, Groovy and Kotlin. Topics on non-JVM technologies such as Meteor, AngularJS, and Rust may occasionally be presented.
We are proud members of the MicroProfile Working Group and the Jakarta EE Ambassadors and have adopted the Jakarta NoSQL specification.
All meetings are generally held on the second Tuesday of the month, but may change due to speaker availability. In-person meetings are usually held at Drew University in Madison, New Jersey. On-line meetings are held via our YouTube channel.
Upcoming events
1
The Jakarta Agentic AI Specification - Status and Future
Dorothy Young Center for the Arts, Lancaster Rd, Madison, NJ, USPlease note that registration via EventBrite is required for in-person or on-line attendance
We are happy to announce that Reza Rahman will be our special guest for this month's meeting.
Abstract
AI agents are one of the most prominent developments in enterprise and cloud native computing in decades. They promise to fundamentally accelerate innovation, automation, and productivity by leveraging AI in virtually every industry. Agents operate by leveraging Neural Networks, Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLMs), and many other AI technologies to aim to perform specific tasks autonomously with little or no human intervention. They detect events, gather data, generate self-correcting plans, execute actions, process results, and evolve subsequent decisions. Examples include self-driving cars, security monitors, Site Reliability Engineering (SRE) agents, stock monitors, code/application generators, health monitors, customer service agents, manufacturing robots, and many others.
The Jakarta Agentic AI specification aims to provide a set of APIs that make it easy, consistent, and reliable to build, deploy, and run AI agents on Jakarta EE runtimes. The technology aims to do for developing AI agents what Jakarta Servlet did for HTTP processing, Jakarta REST did for RESTful web services, or perhaps most appropriately, Jakarta Batch did for batch processing. It defines common usage patterns/life cycles for AI agents, provides a very minimal LLM facade, allows defining dynamic agent workflows that can change at runtime, integrates with other key Jakarta EE APIs such as CDI, Validation, JSON Binding, Persistence, Messaging, and much, much more.
4 attendees
Past events
59
