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.

Ed Burns
Seit 1994 hat Ed mit vielen verschiedenen client- und server-seitigen Technologien inklusive NCSA Mosaic, Netscape 6, Mozilla, Sun Java Plug-in, Jakarta Tomcat, JavaServer Faces, und Servlet gearbeitet. Ed hat die JCP Expertengruppen für JavaServer Faces und Servlet geleitet oder mit geleitet. Ed hat vier Bücher bei McGraw-Hill herausgebracht. Die Bücher heißen The Complete Reference (2006), Secrets of the Rockstar Programmers: Riding the IT Crest (2008), JavaServer Faces 2.0: The Complete Reference (2010) und Hudson Continuous Integration In Practice (2013). Um mehr über seine Bücher und Projekte zu erfahren, besuche seine Homepage https://www.ridingthecrest.com/