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Overview
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Explore a 16-minute conference talk from Devoxx that challenges the perception that GenAI and LLMs can solve every problem. Learn why large language models struggle with creating reliable schedules and discover mathematical optimization as a powerful alternative branch of AI specifically designed for complex scheduling tasks. Understand the limitations of LLMs for optimization problems, see how constraint solving provides more robust solutions, and learn to implement the Open Source Timefold Solver to handle scheduling challenges without needing deep mathematical expertise. Watch this practical demonstration of specialized AI in action and add an effective problem-solving approach to your technical toolkit.
Syllabus
LLMs can't optimize schedules, but AI can! by Tom Cools
Taught by
Devoxx