3 papers
cs.LG2026
Demand Transfer Estimation at Scale via Restricted Logit Modeling
Lakshya Garg, Deep Narayan Mishra, Swapnil Yadav +4
Item demand forecasting is an integral component of store assortment optimization. Existing literature focuses on learning a suitable customer choice model and using this model to…
cs.LG2026
Monodense Deep Neural Model for Determining Item Price Elasticity
Lakshya Garg, Sai Yaswanth, Deep Narayan Mishra +3
Item Price Elasticity is used to quantify the responsiveness of consumer demand to changes in item prices, enabling businesses to create pricing strategies and optimize revenue man…
cs.AI2024
The Llama 3 Herd of Models
Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri +556
Modern artificial intelligence (AI) systems are powered by foundation models. This paper presents a new set of foundation models, called Llama 3. It is a herd of language models th…