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