RESCHEDULED: Microsoft Tech Talk- Generative AI: Trends from the industry

Speaker: Reshmi Ghosh

Date: Wednesday, November 01, 2023

Time: 4:00 PM to 5:00 PM Note: all times are in the Eastern Time Zone

Public: Yes

Location: Star D463

Event Type:

Room Description: Star D463

Host: Callie Mathews

Contact: Callie Mathews ,

Relevant URL:

Speaker URL: None

Speaker Photo:

Reminders to:

Reminder Subject: TALK: RESCHEDULED: Microsoft Tech Talk- Generative AI: Trends from the industry

Microsoft Tech Talk- Generative AI: Trends from the industry

MIT CSAIL Stata Center Bldg 32: StarD463

Wednesday 11/1, 4-5PM

Refreshments provided

Abstract: In the rapidly evolving landscape of Generative AI, Large Language Models (LLMs) are emerging as pivotal tools across various industry applications. In the upcoming MIT CSAIL talk, Reshmi will elucidate the transformative trends from the industry associated with LLMs, emphasizing their capability to produce human-like responses, assist in intricate tasks, facilitate design processes, and enhance synthetic data generation and labeling. Furthermore, she will shed light on the pressing challenges and potential pitfalls inherent to LLMs, particularly the risk of societal biases in their outputs and system vulnerabilities. Reshmi aims to bring her knowledge of developing and securing some of the recently announced M365 CoPilots by Microsoft to the audience!

Speaker Name: Reshmi Ghosh

Bio: Reshmi Ghosh is an Applied Scientist at Microsoft’s Search, Assistance, and Intelligence team. She has played a pivotal role in a small team of developers working on M365 CoPilots over the past year. Currently, she is focused on deploying Generative AI solutions for consumer and enterprise customers in a responsible and secure manner, ensuring a sustainable user experience. Before the announcement of CoPilots, Reshmi made significant contributions towards integrating intelligence into Microsoft’s productivity applications, including Word and PowerPoint as well as the cloud infrastructure (Azure). She holds a Ph.D. in data-driven decision-making methods for climate change using deep learning/NLP from Carnegie Mellon University. With over 5 years of experience in Machine Learning and AI, both in academia and industry, Reshmi also leads efforts to advocate for more opportunities for women in ML/AI through her involvement in WiDS and WiMLDS.

Research Areas:

Impact Areas:

This event is not part of a series.

Created by Callie Mathews Email at Monday, October 16, 2023 at 12:08 PM.