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

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 ...

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, ...

As technology continues to evolve, so does the way we search for information. Voice search has gained significant traction, transforming how users interact with search engines. This tutorial delves ...

Dax Grant is the CEO of Global Transform and an authority on C-suite leadership. Global 100 CIO, 100 Women to Watch, CREA Global Award List. As an entrepreneur in today's fast-paced digital world, ...