Concerto for Java & AI – Building Production-Ready LLM Applications • Thomas Vitale • GOTO 2024

This presentation was recorded at GOTO Copenhagen 2024. #GOTOcon #GOTOcph https://gotocph.com Thomas Vitale - Software Architect at Systematic & Author of "Cloud Native Spring in Action" & CNCF Ambassador @ThomasVitale RESOURCES https://bsky.app/profile/thomasvitale.com https://www.thomasvitale.com https://twitter.com/vitalethomas https://linkedin.com/in/vitalethomas https://github.com/ThomasVitale ABSTRACT Imagine you're a music composer struggling to find inspiration for a pivotal movie scene. Then, you remember you’re also a software engineer, and the solution becomes suddenly obvious. Join me in this session, where I'll demonstrate how I enhanced my music composition process by harnessing the power of Java and AI. This presentation will discuss the core architectural patterns for introducing AI capabilities into an existing software system, exploring concepts like templated prompts, agent tools, and integration of external knowledge. The Java ecosystem is getting more and more capabilities for building AI applications. But are they ready for production? Are there any gaps? Throughout the session, I’ll build a "composer assistant" application using Java and an AI Orchestrator (LangChain4J, Spring AI) to showcase how to make an LLM application production-ready. Is the developer experience affected when working locally with language models? How is observability different when it comes to tokens? Can we ensure resilience across the many integrations orchestrated by the AI? What strategies are available for deploying LLM applications? In a final twist, you’ll choose which movie scene to score, and I’ll compose and perform the music live for it, supported by AI. Will it meet the mark? There’s only one way to find out: join me in exploring the practical side of AI applications, where Java and Generative AI offer tangible solutions to real-world use cases. Aaaaand action! [...] TIMECODES 00:00 Intro 01:28 GenAI 02:22 The WHY factor 07:25 Demo 10:21 Text classification 10:43 Demo 15:58 Semantic search 17:10 Demo 18:58 Question answering with docs 19:50 Demo 24:08 Structured data extraction 24:33 Speech transcription 24:52 Demo 33:20 Final product 34:00 Outro Download slides and read the full abstract here: https://gotocph.com/2024/sessions/3138 RECOMMENDED BOOKS Thomas Vitale • Cloud Native Spring in Action • https://amzn.to/3kLu1ns Mauricio Salatino • Platform Engineering on Kubernetes • https://amzn.to/3X14qZK Mark Heckler • Spring Boot: Up & Running • https://amzn.to/3c0NK19 Phil Winder • Reinforcement Learning • https://amzn.to/3t1S1VZ Kelleher & Tierney • Data Science (The MIT Press Essential Knowledge series) • https://amzn.to/3AQmIRg https://twitter.com/GOTOcon https://www.linkedin.com/company/goto- https://www.instagram.com/goto_con https://www.facebook.com/GOTOConferences #Java #AI #ArtificialIntelligence #AIAssistant #LLM #ComposerAssistant #AIComposer #ThomasVitale CHANNEL MEMBERSHIP BONUS Join this channel to get early access to videos & other perks: https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/join Looking for a unique learning experience? Attend the next GOTO conference near you! Get your ticket at https://gotopia.tech Sign up for updates and specials at https://gotopia.tech/newsletter SUBSCRIBE TO OUR CHANNEL - new videos posted almost daily. https://www.youtube.com/user/GotoConferences/?sub_confirmation=1