RESCHEDULED: Microsoft Tech Talk- Generative AI: Trends from the industry
Speaker
Reshmi Ghosh
Host
Callie Mathews
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.
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.