Abstract: In this article, an adaptive accelerated derivative-free optimization algorithm is developed. A composition of noncommutative maps based on objective function evaluations is used to ...
That’s the job of generative engine optimization (GEO) — and in 2026, it’s no longer optional. This guide shows you how to build, execute, and measure a GEO strategy that actually works. What is GEO — ...
Discover the social commerce trends of 2026. See how TikTok & Instagram are driving $6.2T in revenue through seamless, in-app ...
Abstract: The parallel efficient global optimization (EGO) algorithm was developed to leverage the rapid advancements in high-performance computing. However, conventional parallel EGO algorithm based ...
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 ...
In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum ...
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