Tejas Dharamsi

According to our database, Tejas Dharamsi authored at least 5 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Efficient AI in Practice: Training and Deployment of Efficient LLMs for Industry Applications.

Kayhan Behdin, Yun Dai, Ata Fatahi Baarzi, Aman Gupta, Qingquan Song, Shao Tang, Hejian Sang, Gregory Dexter, Sirou Zhu, Siyu Zhu, Tejas Dharamsi, Maziar Sanjabi, Vignesh Kothapalli, Hamed Firooz, Zhoutong Fu, Yihan Cao, Pin-Lun Hsu, Fedor Borisyuk, Zhipeng Wang, Rahul Mazumder, Natesh Pillai, Luke Simon

CoRR, February, 2025

LLM Query Scheduling with Prefix Reuse and Latency Constraints.

Gregory Dexter, Shao Tang, Ata Fatahi Baarzi, Qingquan Song, Tejas Dharamsi, Aman Gupta

CoRR, February, 2025

2024

Enhancing Stability for Large Models Training in Constrained Bandwidth Networks.

Yun Dai, Tejas Dharamsi, Byron Hsu, Tao Song, Hamed Firooz

CoRR, 2024

2017

Neurology-as-a-Service for the Developing World.

Tejas Dharamsi, Payel Das, Tejaswini Pedapati, Gregory Bramble, Vinod Muthusamy, Horst Samulowitz, Kush R. Varshney, Yuvaraj Rajamanickam, John Thomas, Justin Dauwels

CoRR, 2017

2016

Stringing Subtitles in Sign Language.

Tejas Dharamsi, Rituparna Jawahar, Kavi Mahesh, Gowri Srinivasa

Proceedings of the Eighth IEEE International Conference on Technology for Education, 2016