From 0 to H-AI-ro: Unlock the power of generative AI with Kotlin, LangChain4j and Spring AI
Conference (BEGINNER level)
Zaal 2
The JVM, remains one of the most widely used platforms in enterprises today. But is it fit to leverage the enormous potential (generative) AI offers, with Python being the dominating language in this space?
Join me for an insightful talk where we explore the leading JVM frameworks for AI: Spring AI and LangChain4j. These powerful tools enable millions of Kotlin, Java, Scala, and Groovy developers to tap into the transformative capabilities of generative AI.
Discover how Spring AI and LangChain4j:
- Effortlessly interact with LLMs across text, audio, images, and video.
- Leverage semantic search using embeddings and vector databases.
- Utilize retrieval-augmented generation (RAG) solutions and AI agents to amplify your LLM's potential with your own data and APIs.
- Differ from each other and where their strengths and weaknesses lie.
While building a real-world working generative AI application on the fly, all the mind-boggling concepts will be explained clearly and concisely, ensuring you learn both the way the frameworks work as well as the underlying AI concepts without prior knowledge.
By the end of this session, you will be ready to conquer the world of generative AI: You will not only understand the concepts behind today’s AI buzzwords but also learn how Spring AI and LangChain4j allow you to unleash the power of this promising technology.
Armed with this knowledge, you’ll be prepared to embrace the future as a H-AI-ro!
Join me for an insightful talk where we explore the leading JVM frameworks for AI: Spring AI and LangChain4j. These powerful tools enable millions of Kotlin, Java, Scala, and Groovy developers to tap into the transformative capabilities of generative AI.
Discover how Spring AI and LangChain4j:
- Effortlessly interact with LLMs across text, audio, images, and video.
- Leverage semantic search using embeddings and vector databases.
- Utilize retrieval-augmented generation (RAG) solutions and AI agents to amplify your LLM's potential with your own data and APIs.
- Differ from each other and where their strengths and weaknesses lie.
While building a real-world working generative AI application on the fly, all the mind-boggling concepts will be explained clearly and concisely, ensuring you learn both the way the frameworks work as well as the underlying AI concepts without prior knowledge.
By the end of this session, you will be ready to conquer the world of generative AI: You will not only understand the concepts behind today’s AI buzzwords but also learn how Spring AI and LangChain4j allow you to unleash the power of this promising technology.
Armed with this knowledge, you’ll be prepared to embrace the future as a H-AI-ro!
Urs Peter
Xebia
Urs is a seasoned software engineer, solution architect, conference speaker, and trainer with over 20 years of experience in building resilient, scalable, and mission-critical systems, mostly involving Kotlin and Scala.
Besides his job as a consultant, he is also a passionate trainer and author of a great variety of courses ranging from language courses for Kotlin and Scala to architectural trainings such as Microservices and Event-Driven Architectures.
As a people person by nature, he loves to share knowledge and inspire and get inspired by peers on meetups and conferences. Urs is a JetBrains certified Kotlin trainer.
Besides his job as a consultant, he is also a passionate trainer and author of a great variety of courses ranging from language courses for Kotlin and Scala to architectural trainings such as Microservices and Event-Driven Architectures.
As a people person by nature, he loves to share knowledge and inspire and get inspired by peers on meetups and conferences. Urs is a JetBrains certified Kotlin trainer.