Build your first fully functional, Java-based AI agent using familiar Spring conventions and built-in tools from Spring AI.

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In this tutorial, we implement an end-to-end Direct Preference Optimization workflow to align a large language model with human preferences without using a reward model. We combine TRL’s DPOTrainer ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

In this tutorial, we build a Wet-Lab Protocol Planner & Validator that acts as an intelligent agent for experimental design and execution. We design the system using Python and integrate Salesforce’s ...

Is your feature request related to a problem? Please describe. I find it hard to translate the help given in FAQ on Optimization/AD into code that actually performs a parameter optimization. I propose ...

optimizer = optimization.OptimizerGeneric(problem) res = optimizer.optimize(tol=1e-9) producing a merit function value of 0.288. However, on my setup, running: res = optimizer.optimize(tol=1e-6) ...

Distributed optimization provides a framework for deriving distributed algorithms for a variety of multi-robot problems. This tutorial constitutes the first part of a two-part series on distributed ...

Abstract: Several interesting problems in multirobot systems can be cast in the framework of distributed optimization. Examples include multirobot task allocation, vehicle routing, target protection, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Atomistic molecular dynamics (MD) simulations have become an indispensable tool for ...