Efficient Parameter-Efficient Fine-Tuning for Large Language Models
PDFAditya Mehrotra, John Smith, Jane Doe
NeurIPS 2024 • 2024
We propose a novel method for parameter-efficient fine-tuning of large language models that reduces memory requirements by 70% while maintaining comparable performance to full fine-tuning.
Scaling Distributed Machine Learning Systems: A Survey
PDFAditya Mehrotra, Alice Johnson
arXiv preprint • 2024
A comprehensive survey of techniques for scaling machine learning systems across distributed computing environments, covering both data and model parallelism approaches.
Adversarial Robustness in Computer Vision Models
PDFBob Williams, Aditya Mehrotra, Carol Davis
CVPR 2023 • 2023
We investigate adversarial attack vectors in state-of-the-art computer vision models and propose a new defense mechanism that improves robustness by 35%.