main webpage W Topic Algorithm arXiv (Cornell University) Using Large Language Models for Hyperparameter Optimization 2023 This paper explores the use of foundational large language models (LLMs) in hyperparameter optimization (HPO). Hyperparameters are critical in determining the effectiveness of machine learning models, yet their optimization often relies on manual approaches i… Article Open Algorithm Open Article Page

Algorithm

Sequence of operations for a task In mathematics and computer science, an algorithm ( ) is a finite sequence of mathematically rigorous instructions, typically used to solve a class of specific problems or to perform a computation. Algorithms are used as specifications for performing calculations and data processing. More advanced algorithms can use conditionals to divert the code execution through various routes (referred to as automated decision-making) and deduce valid inferences (referred to as automated reasoning). In contrast, a heuristic is an approach to solving problems without well- defined correct or optimal results. For example, although social media recommender systems are commonly called "algorithms", they actually rely on heuristics as there is no truly "correct" recommendation. Critical Symbolic Virtual Narrative Open Algorithm Open Article Page

Exploring foci of: arXiv (Cornell University) Using Large Language Models for Hyperparameter Optimization 2023 This paper explores the use of foundational large language models (LLMs) in hyperparameter optimization (HPO). Hyperparameters are critical in determining the effectiveness of machine learning models, yet their optimization often relies on manual approaches in limited-budget settings. By prompting LLMs with dataset and model descriptions, we develop a methodology where LLMs suggest hyperparameter configurations, which are iteratively refined based on model performance. Our empirical evaluations on standard benchma… Open Article Page

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Explore Algorithm W Topic Algorithm arXiv (Cornell University) Using Large Language Models for Hyperparameter Optimization 2023 This paper explores the use of foundational large language models (LLMs) in hyperparameter optimization (HPO). Hyperparameters are critical in determining the effectiveness of machine learning models, yet their optimization often relies on manual approaches i… Article Critical Symbolic Virtual Narrative Open Algorithm Open Article Page