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cs.LG2025
Training Dynamics Underlying Language Model Scaling Laws: Loss Deceleration and Zero-Sum Learning
Andrei Mircea, Supriyo Chakraborty, Nima Chitsazan +4
This work aims to understand how scaling improves language models, specifically in terms of training dynamics. We find that language models undergo loss deceleration early in train…
cs.LG2021
Dynamic Customer Embeddings for Financial Service Applications
Nima Chitsazan, Samuel Sharpe, Dwipam Katariya +2
As financial services (FS) companies have experienced drastic technology driven changes, the availability of new data streams provides the opportunity for more comprehensive custom…