Uploaded March 2026 | Updated September 2026, 3 weeks ago
#VoxxedDaysCERN26
Large language models are touted as the solution for every problem under the sun. Yet, when it comes to everyday tasks like creating work schedules for 30 employees across 3 shifts or optimizing truck routes for 100 deliveries these models often derail.
We'll explore the reasons why LLMs aren't the right tool for these tasks and introduce a hidden gem when it comes to tackling these problems: metaheuristics. With live demos, you’ll see how by simply annotating your domain classes and defining your constraints, you can harness their power using Timefold, an Open Source framework built in Java.
By the end of this session, you’ll walk away with a powerful addition to your problem solver toolkit and we’ll also explore how LLMs and metaheuristics can complement each other so you can create powerful AI solutions to everyday problems.
#VoxxedDaysCERN26
Large language models are touted as the solution for every problem under the sun. Yet, when it comes to everyday tasks like creating work schedules for 30 employees across 3 shifts or optimizing truck routes for 100 deliveries these models often derail.
We'll explore the reasons why LLMs aren't the right tool for these tasks and introduce a hidden gem when it comes to tackling these problems: metaheuristics. With live demos, you’ll see how by simply annotating your domain classes and defining your constraints, you can harness their power using Timefold, an Open Source framework built in Java.
By the end of this session, you’ll walk away with a powerful addition to your problem solver toolkit and we’ll also explore how LLMs and metaheuristics can complement each other so you can create powerful AI solutions to everyday problems.
