Training Large Language Models Efficiently with Sparsity and Dataflow

no code implementations • 11 Apr 2023 • Venkat Srinivasan, Darshan Gandhi, Urmish Thakker, Raghu Prabhakar

We show that we can successfully train GPT 13B to the same quality as the dense GPT 13B model, while achieving an end-end speedup of 4. 5x over dense A100 baseline.

Language Modelling Large Language Model +2

MIT SafePaths Card (MiSaCa): Augmenting Paper Based Vaccination Cards with Printed Codes

no code implementations • 20 Jan 2021 • Joseph Bae, Rohan Sukumaran, Sheshank Shankar, Saurish Srivastava, Rohan Iyer, Aryan Mahindra, Qamil Mirza, Maurizio Arseni, Anshuman Sharma, Saras Agrawal, Orna Mukhopadhyay, Colin Kang, Priyanshi Katiyar, Apurv Shekhar, Sifat Hasan, Krishnendu Dasgupta, Darshan Gandhi, Sethuramen TV, Parth Patwa, Ishaan Singh, Abhishek Singh, Ramesh Raskar

In this early draft, we describe a user-centric, card-based system for vaccine distribution.

Computers and Society Cryptography and Security

COVID-19 Tests Gone Rogue: Privacy, Efficacy, Mismanagement and Misunderstandings

no code implementations • 5 Jan 2021 • Manuel Morales, Rachel Barbar, Darshan Gandhi, Sanskruti Landuge, Joseph Bae, Arpita Vats, Jil Kothari, Sheshank Shankar, Rohan Sukumaran, Himi Mathur, Krutika Misra, Aishwarya Saxena, Parth Patwa, Sethuraman T. V., Maurizio Arseni, Shailesh Advani, Kasia Jakimowicz, Sunaina Anand, Priyanshi Katiyar, Ashley Mehra, Rohan Iyer, Srinidhi Murali, Aryan Mahindra, Mikhail Dmitrienko, Saurish Srivastava, Ananya Gangavarapu, Steve Penrod, Vivek Sharma, Abhishek Singh, Ramesh Raskar

In this work, we discuss challenges complicating the existing covid-19 testing ecosystem and highlight the need to improve the testing experience for the user and reduce privacy invasions.

Computers and Society

Digital Landscape of COVID-19 Testing: Challenges and Opportunities

no code implementations • 3 Dec 2020 • Darshan Gandhi, Rohan Sukumaran, Priyanshi Katiyar, Alex Radunsky, Sunaina Anand, Shailesh Advani, Jil Kothari, Kasia Jakimowicz, Sheshank Shankar, Sethuraman T. V., Krutika Misra, Aishwarya Saxena, Sanskruti Landage, Richa Sonker, Parth Patwa, Aryan Mahindra, Mikhail Dmitrienko, Kanishka Vaish, Ashley Mehra, Srinidhi Murali, Rohan Iyer, Joseph Bae, Vivek Sharma, Abhishek Singh, Rachel Barbar, Ramesh Raskar

We summarize the challenges experienced using these tools in terms of quality of information, privacy, and user-centric issues.

Computers and Society

Challenges of Equitable Vaccine Distribution in the COVID-19 Pandemic

no code implementations • 24 Nov 2020 • Joseph Bae, Darshan Gandhi, Jil Kothari, Sheshank Shankar, Jonah Bae, Parth Patwa, Rohan Sukumaran, Aviral Chharia, Sanjay Adhikesaven, Shloak Rathod, Irene Nandutu, Sethuraman TV, Vanessa Yu, Krutika Misra, Srinidhi Murali, Aishwarya Saxena, Kasia Jakimowicz, Vivek Sharma, Rohan Iyer, Ashley Mehra, Alex Radunsky, Priyanshi Katiyar, Ananthu James, Jyoti Dalal, Sunaina Anand, Shailesh Advani, Jagjit Dhaliwal, Ramesh Raskar

The COVID-19 pandemic has led to a need for widespread and rapid vaccine development.

Clinical Landscape of COVID-19 Testing: Difficult Choices

no code implementations • 9 Nov 2020 • Darshan Gandhi, Sanskruti Landage, Joseph Bae, Sheshank Shankar, Rohan Sukumaran, Parth Patwa, Sethuraman T V, Priyanshi Katiyar, Shailesh Advani, Rohan Iyer, Sunaina Anand, Aryan Mahindra, Rachel Barbar, Abhishek Singh, Ramesh Raskar

The coronavirus disease 2019 (COVID-19) pandemic has spread rapidly across the world, leading to enormous amounts of human death and economic loss.