Ed Burns: Java and AI with LangChain4j

Generative AI burst on to the public scene in November 2022, over ten years after Andrew Ng’s Machine Learning premiered on Coursera. Java developers have long felt like second class citizens, compared to the cool Python kids. LangChain4J changes the game. Java is cool with AI now! This lecture from 30-year industry veteran Ed Burns explores why it took so long for Java developers to have access to easy-to-use AI libraries, compared to Python developers. LangChain4J is the most popular of the Java libraries, but others exist. After a brief look at the landscape, we’ll take a deeper look at LangChain4J and how you use it to perform the most popular AI usage pattern: Retrieval Augmented Generation (RAG). RAG is basically a way to bring your own domain specific data to an existing AI model, and benefit from its power.

About the speaker:
Ed Burns is currently Principal Architect on the Java Tooling and Experiences team at Microsoft. In this role, Ed will help make Azure the best place for Enterprise Java. Ed has worked on a wide variety of client and server side web technologies since 1994, including NCSA Mosaic, Netscape 6, Mozilla, the Sun Java Plugin, Jakarta Tomcat and JavaServer Faces, and the Servlet specification. Ed has lead or co-lead the expert groups for Servlet and JavaServer Faces. Ed has published four books with McGraw-Hill: JavaServerFaces: The Complete Reference (2006), Secrets of the Rockstar Programmers: Riding the IT crest (2008) JavaServer Faces 2.0: The Complete Reference (2010) and Hudson Continuous Integration In Practice (2013). To learn more about his books or projects, you can visit his website at .