IEEE

Enhancing Sustainability in LLM Training: Leveraging Federated Learning and Parameter-Efficient Fine-Tuning

Abstract: Large language models deliver strong performance but at the cost of high energy use and carbon emissions, limiting their accessibility. Federated Learning (FL) addresses energy efficiency by ...
C&EN

Study on the Adsorption Performance of Ionic Liquids Based on Molecular Dynamics and Interpretable Machine Learning

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
GitHub

including open & commercial LLMs

Upgini is an intelligent data search engine with a Python library that helps you find and add relevant features to your ML pipeline from hundreds of public, community, and premium external data ...
EurekAlert!

Geophysical-machine learning tool for continuous subsurface geomaterials characterization

Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...
IEEE

Hyperparameter Optimization on Machine Learning Models for Twitter Sentiment Analysis of Indonesia’s New Capital (IKN)

Abstract: The development of Indonesia’s New Capital (IKN) is a national strategic project of Indonesia that has sparked various discussions and debates in society. Sentiment analysis of Twitter data ...