Abstract: In the past few decades, many multiobjective evolutionary optimization algorithms (MOEAs) have been proposed to find a finite set of approximate Pareto solutions for a given problem in a ...
Pareto upgrades are a key technique for improving yield on invested capital over time. This article will discuss what Pareto upgrades are, how to use them, and highlight real examples of how we ...
Live visualization for GEPA prompt-optimization runs. Renders the candidate tree as a force-directed graph so you can watch prompts evolve over a pareto frontier in real time. Big nodes are candidates ...
SLM Pareto Frontier Evaluation Framework - OFFLINE-FIRST evaluation using Batuta sovereign stack. Prove that small models can beat frontier models on domain-specific tasks at 1/100th the cost. Part of ...
Abstract: Physics-informed neural networks (PINNs) have emerged as a promising deep learning method, capable of solving forward and inverse problems governed by differential equations. Despite their ...
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