Foojay Podcast #74: JCON Report, Part 3 – AI, ChatGPT, LLM, ML, RAG, MCP, GenAI, and more
ConferenceLangChain4j

Foojay Podcast #74: JCON Report, Part 3 – AI, ChatGPT, LLM, ML, RAG, MCP, GenAI, and more

Let’s have an AI Bingo and talk about ChatGPT, LLM, ML, RAG, MCP, GenAI, and more!

This is part 3 of the interviews recorded at the JCON conference in May. In the previous parts, you learned more about how to be a better Java developer and how Java has evolved and continues to evolve. Of course, Artificial Intelligence and large language models were hot topics at the conference.

This episode collects all the interviews on the AI topic. You will learn more about the different technologies we can use in our Java projects. We also checked with our guests to see how they compare Java to Python for AI-related development.

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Content

00:00 Introduction

00:46 Pasha Finkelshteyn - RAG, MCP
https://www.linkedin.com/in/asm0dey

06:17 Simone de Gijt - LLM
https://www.linkedin.com/in/simonedegijt

12:30 Steve Poole - AI challenges and dangers
https://www.linkedin.com/in/noregressions

18:01 Sandra Ahlgrimm - LangChain4J and Microsoft tools
https://www.linkedin.com/in/sandraahlgrimm

21:06 Mary Grygleski - Spring AI, Langchain4J, Quarkus
https://www.linkedin.com/in/mary-grygleski

30:25 Jonathan Vila - Sonar, Infrastructure As Code, AI dangers
https://www.linkedin.com/in/jonathanvila

35:56 Simon Martinelli - Influence of chat interfaces on UI development + MCP explanation
https://www.linkedin.com/in/simonmartinelli

42:13 Emily Jiang - LLM
https://www.linkedin.com/in/emilyfhjiang

49:59 Conclusion

Written by

Frank Delporte

Frank Delporte is a Java Champion, Java Developer, Senior Technical Writer at Azul, Blogger, Author of "Java Programming for Raspberry Pi - A Hands-On Guide to Electronics and IoT Projects", and Open-Source Contributor for Pi4J, Lottie4J, MelodyMatrix,... …