BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CFP.DEV//CFP.DEV shortcodes//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Voxxed Days Ticino 2026
X-WR-RELCALID:c426493a-54d4-472b-b975-6f3aaa7163fa
X-WR-TIMEZONE:Europe/Zurich
BEGIN:VEVENT
UID:cfp-1151-8691@cfp.dev
DTSTAMP:20261109T165052Z
SEQUENCE:0
STATUS:CONFIRMED
DTSTART:20260205T120000Z
DTEND:20260205T150000Z
SUMMARY:From LLM orchestration to autonomous agents: Agentic AI patterns wi
 th LangChain4j
DESCRIPTION:The last few months have seen the rapid evolution of LLMs from 
 passive completion engines\, only good for generic chatbots\, to component
 s of a more complex\, programmatically defined\, workflow and finally into
  active and autonomous elements capable of reasoning\, planning\, and taki
 ng actions.But moving from basic prompt engineering to truly autonomous sy
 stems requires a new class of design patterns and possibly a framework all
 owing to implement those patterns and put them at work in a convenient and
  effortless way.In this workshop\, we will explore the architecture and im
 plementation of agentic AI using LangChain4j\, a Java-native framework for
  building LLM-powered applications. You’ll learn how to move beyond the 
 plain usage of a standalone LLM to design intelligent\, modular agents cap
 able of dynamic decision-making\, memory retention\, tool usage\, RAG\, MC
 P and A2A integration and multi-step goal execution.After having covered t
 he core concepts of agentic AI\, we will guide you in incrementally buildi
 ng and testing an agentic system from scratch using LangChain4j and Quarku
 s\, backed by real-world examples and live coding. Whether you&#39\;re exp
 loring agentic AI for task automation\, intelligent assistants\, or decisi
 on-support systems\, this session will give you the practical tools and ar
 chitectural understanding to build robust and maintainable autonomous agen
 ts in Java.\nSpeakers: Mario Fusco\, Kevin Dubois\nTrack: Machine Learning
  & AI
URL:https://vdt26.voxxeddays.ch/talk/from-llm-orchestration-to-autonomous-a
 gents-agentic-ai-patterns-with-langchain4j/
LOCATION:ws3\nPalazzo dei Congressi\nLugano\, Switzerland
CATEGORIES:Machine Learning & AI
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