Mechanical Engineering Seminar
When: Friday,
October 11, 2024
2:00 PM
-
3:00 PM
Where: > See description for location
Description: Mechanical Engineering (MNE) SEMINAR
DATE: October 11, 2024
TIME: 2pm-3pm
LOCATION: Claire T. Carney Library, Room 426 (LIB-426)
SPEAKER:
Dr. Joshua Carberry, Assistant Teaching Professor
Department of Computer and Information Science, University of Massachusetts Dartmouth
TOPIC:
Contemporary Applications for Large Language Models and Other AI Modalities
ABSTRACT:
Recent years have seen the explosion of popularity of applications leveraging artificial intelligence (AI) to provide users with features and functionalities beyond the capabilities of traditional computing solutions. In particular, large language models (LLMs) have surged to the forefront of AI research and development following the release of powerful user applications like ChatGPT, Microsoft CoPilot, and Google Gemini, and xAi Grok. Leveraging unique architectures and large-scale training data, these LLM-based applications provide a chat interface that enables users to engage AI chatbots on a litany of subjects, in contrast to the one-subject expertise provided by traditional solutions. Over the past few years, LLM-based applications have demonstrated superior understanding and utility across a wide range of subjects from language translation to law to medicine to programming. Increasingly, AI chatbots are used to assist with tasks like business communications and programming. In this talk, we will give a high-level overview of the history and mechanisms behind transformer-based large language models and the efforts that go into training these architectures. Furthermore, we will review the performance of contemporary models on a wide range of language-based tasks. Finally, we will introduce some creative or otherwise unconventional tasks that explore the capabilities and limits of LLMs.
BIO:
Dr. Joshua Carberry is an Assistant Teaching Professor of Computer and Information Science at the University of Massachusetts Dartmouth and lab manager for the Concurrent Software Engineering Laboratory (CSEL). Dr. Carberry received his Ph.D. in Engineering and Applied Science (Computer Science and Information Science option) in 2024 at UMassD. Before earning the PhD, he received a Master's degree in Computer and Information Sciences at UMassD in 2022.
Dr. Carberry's work primarily focuses on natural language processing using artificial intelligence and deep learning, with a focus on text classification and understanding for clinical healthcare text. Other research interests include computer vision for image classification as well as software reliability techniques for improving the reliability of critical cloud services.
For more information, please contact Habibor Rahman, PhD, MNE Seminar Coordinator (mrahman15@umassd.edu).
All are welcome.
Students taking MNE-500 are REQUIRED to attend!
All other MNE students are encouraged to attend. EAS students are also encouraged to attend.
Thank you!
DATE: October 11, 2024
TIME: 2pm-3pm
LOCATION: Claire T. Carney Library, Room 426 (LIB-426)
SPEAKER:
Dr. Joshua Carberry, Assistant Teaching Professor
Department of Computer and Information Science, University of Massachusetts Dartmouth
TOPIC:
Contemporary Applications for Large Language Models and Other AI Modalities
ABSTRACT:
Recent years have seen the explosion of popularity of applications leveraging artificial intelligence (AI) to provide users with features and functionalities beyond the capabilities of traditional computing solutions. In particular, large language models (LLMs) have surged to the forefront of AI research and development following the release of powerful user applications like ChatGPT, Microsoft CoPilot, and Google Gemini, and xAi Grok. Leveraging unique architectures and large-scale training data, these LLM-based applications provide a chat interface that enables users to engage AI chatbots on a litany of subjects, in contrast to the one-subject expertise provided by traditional solutions. Over the past few years, LLM-based applications have demonstrated superior understanding and utility across a wide range of subjects from language translation to law to medicine to programming. Increasingly, AI chatbots are used to assist with tasks like business communications and programming. In this talk, we will give a high-level overview of the history and mechanisms behind transformer-based large language models and the efforts that go into training these architectures. Furthermore, we will review the performance of contemporary models on a wide range of language-based tasks. Finally, we will introduce some creative or otherwise unconventional tasks that explore the capabilities and limits of LLMs.
BIO:
Dr. Joshua Carberry is an Assistant Teaching Professor of Computer and Information Science at the University of Massachusetts Dartmouth and lab manager for the Concurrent Software Engineering Laboratory (CSEL). Dr. Carberry received his Ph.D. in Engineering and Applied Science (Computer Science and Information Science option) in 2024 at UMassD. Before earning the PhD, he received a Master's degree in Computer and Information Sciences at UMassD in 2022.
Dr. Carberry's work primarily focuses on natural language processing using artificial intelligence and deep learning, with a focus on text classification and understanding for clinical healthcare text. Other research interests include computer vision for image classification as well as software reliability techniques for improving the reliability of critical cloud services.
For more information, please contact Habibor Rahman, PhD, MNE Seminar Coordinator (mrahman15@umassd.edu).
All are welcome.
Students taking MNE-500 are REQUIRED to attend!
All other MNE students are encouraged to attend. EAS students are also encouraged to attend.
Thank you!
Topical Areas: Faculty, General Public, Students, Students, Graduate, Students, Undergraduate, University Community, College of Engineering, Mechanical Engineering, Lectures and Seminars