no code implementations • 7 Sep 2023 • Md Mahadi Hassan, Alex Knipper, Shubhra Kanti Karmaker
Envision an intelligent agent capable of assisting users in conducting forecasting tasks through intuitive, natural conversations, without requiring in-depth knowledge of the underlying machine learning (ML) processes.
no code implementations • 23 May 2023 • Md Mahadi Hassan, Alex Knipper, Shubhra Kanti Karmaker Santu
Instead, envision an intelligent agent capable of assisting users in conducting AutoML tasks through intuitive, natural conversations without requiring in-depth knowledge of the underlying machine learning (ML) processes.
2 code implementations • 23 Apr 2023 • Souvika Sarkar, Mohammad Fakhruddin Babar, Md Mahadi Hassan, Monowar Hasan, Shubhra Kanti Karmaker Santu
This paper presents a performance study of transformer language models under different hardware configurations and accuracy requirements and derives empirical observations about these resource/accuracy trade-offs.