10 citations · 17 across the 5 of their papers we have counts for
5 papers
Does Synthetic Data Make Large Language Models More Efficient?
Sia Gholami, Marwan Omar
Natural Language Processing (NLP) has undergone transformative changes with the advent of deep learning methodologies. One challenge persistently confronting researchers is the sca…
Can pruning make Large Language Models more efficient?
Sia Gholami, Marwan Omar
Transformer models have revolutionized natural language processing with their unparalleled ability to grasp complex contextual relationships. However, the vast number of parameters…
Can a student Large Language Model perform as well as it's teacher?
Sia Gholami, Marwan Omar
The burgeoning complexity of contemporary deep learning models, while achieving unparalleled accuracy, has inadvertently introduced deployment challenges in resource-constrained en…
Do Generative Large Language Models need billions of parameters?
Sia Gholami, Marwan Omar
This paper presents novel systems and methodologies for the development of efficient large language models (LLMs). It explores the trade-offs between model size, performance, and c…
Alexa, Predict My Flight Delay
Sia Gholami, Saba Khashe
Airlines are critical today for carrying people and commodities on time. Any delay in the schedule of these planes can potentially disrupt the business and trade of thousands of em…