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2020 – today
- 2024
[c1]Chandra Irugalbandara, Ashish Mahendra, Roland Daynauth, Tharuka Kasthuri Arachchige, Jayanaka Dantanarayana, Krisztián Flautner, Lingjia Tang, Yiping Kang, Jason Mars:
Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's LLM with Open Source SLMs in Production. ISPASS 2024: 280-291- 2023
- [j3]Jason Mars
, Yiping Kang, Roland Daynauth, Baichuan Li, Ashish Mahendra, Krisztián Flautner, Lingjia Tang:
The Jaseci Programming Paradigm and Runtime Stack: Building Scale-Out Production Applications Easy and Fast. IEEE Comput. Archit. Lett. 22(2): 101-104 (2023) - [i3]Jason Mars, Yiping Kang, Roland Daynauth, Baichuan Li, Ashish Mahendra, Krisztián Flautner, Lingjia Tang:
The Jaseci Programming Paradigm and Runtime Stack: Building Scale-out Production Applications Easy and Fast. CoRR abs/2305.09864 (2023) - [i2]Chandra Irugalbandara, Ashish Mahendra, Roland Daynauth, Tharuka Kasthuri Arachchige, Krisztián Flautner, Lingjia Tang, Yiping Kang, Jason Mars:
Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's GPT-4 with Self-Hosted Open Source SLMs in Production. CoRR abs/2312.14972 (2023) - 2022
- [j2]Aastha Behl, K. Rajagopal, Pratima Amol Sheorey, Ashish Mahendra:
Barriers to entry of gig workers in the gig platforms: exploring the dark side of the gig economy. Aslib J. Inf. Manag. 74(5): 818-839 (2022) - [j1]Shiba Prasad Mohanty, Ashish Mahendra, Santosh Gopalkrishnan:
"Soar" or "Sore": Examining and Reflecting on Bank Performance During Global Financial Crisis - An Indian Scenario. Int. J. Inf. Technol. Proj. Manag. 13(3): 1-17 (2022) - [i1]Yiping Kang, Ashish Mahendra, Christopher Clarke, Lingjia Tang, Jason Mars:
Towards Personalized Intelligence at Scale. CoRR abs/2203.06668 (2022)
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