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JCON Report, Part 3 - AI, ChatGPT, LLM, ML, RAG, MCP, GenAI, and more! (#74)
Manage episode 491269260 series 3366865
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.
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
77 episodes
Manage episode 491269260 series 3366865
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.
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
77 episodes
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