
LLMs can't optimize schedules, but AI can!
🧠 LLMs can’t optimize schedules, but AI can!
🎥 Live online session by Virtual Java User Group (vJUG)
🚂 The GenAI hype train is moving fast! Don’t miss this insightful session with Tom Cools – DevRel at Timefold, Java Champion, and BeJUG organizer. Alongside host Ixchel Ruiz, this talk explores where LLMs fall short and how classical AI fills the gap.
📅 Date: April 23rd, 2025
🕓 Time:
▪ 10:00 AM (PT) | 6:00 PM (GMT) – Live stream begins
▪ 10:10 AM (PT) | 6:10 PM (GMT) – Talk by Tom & Ixchel
▪ 11:00 AM (PT) | 7:00 PM (GMT) – End of stream
📍 Location: YouTube Live
🔍 What’s the talk about?
Large Language Models are powerful but can’t handle tasks like scheduling 30 employees or routing 100 deliveries. That’s where classical AI shines. We’ll introduce Timefold, an open-source constraint solver that makes scheduling as simple as annotating your domain classes and defining constraints – no complex math needed.
🎯 Key takeaways:
✅ What Timefold is and how it works
✅ How to create hybrid AI systems combining LLMs and classic optimization
✅ Real-world demos and applications
🎙️ Speakers:
- Tom Cools – DevRel @ Timefold, Java Champion
- Ixchel Ruiz – Senior Software Developer, Java Champion
💬 Join the vJUG Slack community to ask questions and connect with global Java devs: https://bit.ly/vJUG-Slack
