Results 161 to 170 of about 4,909,083 (351)

Prompt Optimization in Large Language Models

Mathematics
Prompt optimization is a crucial task for improving the performance of large language models for downstream tasks. In this paper, a prompt is a sequence of n-grams selected from a vocabulary.
Antonio Sabbatella, Andrea Ponti, Ilaria Giordani, Antonio Candelieri, Francesco Archetti   +4 more
doaj   +1 more source

Asynchronous Batch Bayesian Optimization with Pipelining Evaluations for Experimental Resource$\unicode{x2013}$constrained Conditions [PDF]

Yujin Taguchi, Yusuke Shibuya, Yusuke Hiki, Takashi Morikura, Takahiro Yamada, Akira Funahashi   +5 more
openalex   +1 more source

Efficient autonomous material search method combining ab initio calculations, autoencoder, and multi-objective Bayesian optimization [PDF]

, 2022
Yuma Iwasaki, Jaekyun Hwang, Yuya Sakuraba, Masato Kotsugi, Yasuhiko Igarashi   +4 more
openalex   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Multi-Objective Batch Energy-Entropy Acquisition Function for Bayesian Optimization

Mathematics
Bayesian Optimization (BO) provides an efficient framework for optimizing expensive black-box functions by employing a surrogate model (typically a Gaussian Process) to approximate the objective function and an acquisition function to guide the search ...
Hangyu Zhu, Xilu Wang
doaj   +1 more source

Optimizing Motion Parameters in Soft Robotic Hands Using Bayesian Optimization: Enhancing Cycle Time, Addressing Vibration, and Repeatability [PDF]

Toshihiro Nishimura, Tatsuki Isogai, Yosuke Suzuki, Tokuo Tsuji, Tetsuyou Watanabe   +4 more
openalex   +1 more source

Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design

Advanced Science, EarlyView.
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang, Depeng Kong, Zhiao He, Jikai Liang, Yuyao Lu, Zikang Deng, Honghe Li, Mengke Wang, M. Jamal Deen, Zhiqiu Ye, Shuyao Zhou, Huayong Yang, Honghao Lyu, Jun Chen, Kaichen Xu, Geng Yang   +15 more
wiley   +1 more source

Research on Power Quality Prediction Based on BiLSTM Optimized by Bayesian Algorithm [PDF]

, 2022
Wenhui Zhang, Baohua Wang, Dafei Wang, Jiacheng Yu, Chi Zhang   +4 more
openalex   +1 more source

AI‐Assisted Bioelectronics for Personalized Health Management

Advanced Electronic Materials, EarlyView.
Recent advances in artificial intelligence (AI)‐assisted bioelectronics, including materials, device fabrication, working mechanisms, AI‐hardware integration, and proof‐of‐concept applications in digital health management, are summarized. The emergence of AI‐assisted bioelectronic systems and potential solutions to existing challenges are discussed ...
Huiwen Xiong, Changhao Dai, Xuting Chen, Jilie Kong, Dacheng Wei, Xueen Fang, Wenhao Weng   +6 more
wiley   +1 more source

An Efficient Batch-Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multiobjective Acquisition Ensemble [PDF]

, 2021
Shuhan Zhang, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng   +4 more
openalex   +1 more source