2 papers
cs.CL2024
KodeXv0.1: A Family of State-of-the-Art Financial Large Language Models
Neel Rajani, Lilli Kiessling, Aleksandr Ogaltsov +1
Although powerful, current cutting-edge LLMs may not fulfil the needs of highly specialised sectors. We introduce KodeXv0.1, a family of large language models that outclass GPT-4 i…
math.OC2019
Adaptive Gradient Descent for Convex and Non-Convex Stochastic Optimization
Darina Dvinskikh, Aleksandr Ogaltsov, Alexander Gasnikov +3
In this paper we propose several adaptive gradient methods for stochastic optimization. Unlike AdaGrad-type of methods, our algorithms are based on Armijo-type line search and they…