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Optimizing the Phi-2 Small Language Model for Real-time Chatbot Applications Using Parameter-Efficient Fine-Tuning (PEFT) with QLoRA Quantization
PhanTan Khanh Nguyen, Ashfaq Ali Shafin, Khandaker Mamun Ahmed
This study explores the optimization of the Phi-2 Small Language Models (SLMs) for real-time chatbot applications through Parameter-Efficient Fine-Tuning (PEFT) and Quantized Low-R…
Leakage-Safe and Scheduler-Aware Machine Learning for Grid Job Runtime Prediction
Ashfaq Ali Shafin, Khandaker Mamun Ahmed
Accurate job runtime prediction can improve scheduling-aware resource management in grid and distributed computing environments, but prediction models must be evaluated under reali…
Synthetic Data in Education: Empirical Insights from Traditional Resampling and Deep Generative Models
Tapiwa Amion Chinodakufa, Ashfaq Ali Shafin, Khandaker Mamun Ahmed
Synthetic data generation offers promise for addressing data scarcity and privacy concerns in educational technology, yet practitioners lack empirical guidance for selecting betwee…