Recently, Large Language Models (LLMs) have revolutionized software development, promising to transform user interactions and redefine business paradigms. The emergence of ChatGPT/OpenAI and the proliferation of various LLMs, led by big tech companies like Google, Microsoft, and Amazon, have pushed these models to the forefront of technological innovation.
But what about you, Java developer? Can this innovation be brought into your own code to take your projects to the next level?
You bet! To find out how, you are invited to this session, which will take a practical approach to integrating LLMs into the Quarkus ecosystem, led by LangChain4J.
Discover how to go beyond the AI hype and integrate Large Language Models into real-world Java projects using tools like LangChain4J and the Quarkus framework.
This session will provide a practical guide for Java developers eager to adopt LLMs in their applications. We'll cover real use cases, architecture examples, and the role of LangChain4J in bridging the gap between generative AI and enterprise development.
Ideal for developers who want to move from experimentation to implementation with AI in production-ready environments.
- LLMs
- Java
- LLMs
- Quarkus
- LangChain4J
- AI integration