Year: 2025
Type: article
Abstract: This article explores the effectiveness of transfer learning and fine-tuning techniques in addressing the challenges of training deep learning models with limited computational resources and datasets.It investigates various approaches to leveraging pre-trained models across domains, focusing on natural language processing and Transfer Learning: Leveraging
Author: Siddhant Sonkar
Institution: University of California, Irvine
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4408249157
