syftr: Pareto-Optimal Generative AI

Alexander Conway; Debadeepta Dey; Stefan Hackmann; Matthew Hausknecht; Michael Douglas Schmidt; Mark Lewis Steadman; Nick Volynets

2025 AutoML AutoML 2025

syftr: Pareto-Optimal Generative AI

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Alexander Conway, Debadeepta Dey, Stefan Hackmann, Matthew Hausknecht, Michael Douglas Schmidt, Mark Lewis Steadman, Nick Volynets

Topics

Artificial Intelligence > Core AI > Agent Systems Machine Learning > Optimization & Theory > Bayesian Inference Artificial Intelligence > Core AI > Large Language Models

Keywords

bayesian optimization retrieval-augmented generation agentic modules early-stopping mechanism hyperparameter dependencies pareto-optimal flows

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