GitHub

RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards

@article{li2024rag, title={RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards}, author={Li, Xinze and Mei, Sen and Liu, Zhenghao and Yan, Yukun and Wang, Shuo and Yu, ...
IT-Online

Senior Python Developer (Django) (CPT Hybrid) – Western Cape Cape Town

ENVIRONMENT: SHAPE the technical direction of a Django-based insurance platform of a well-established Financial Services provider seeking a highly skilled Senior Python Developer to join its team. You ...
IEEE

Constrained Optimization With Decision-Dependent Distributions

Abstract: In this article, we deal with stochastic optimization problems where the data distributions change in response to the decision variables. Traditionally, the study of optimization problems ...
IEEE

Predict-and-Optimize Model for Day-Ahead Inertia Prediction Using Distributionally Robust Unit Commitment With Renewable Energy Sources

Abstract: As the persistent proliferation of renewable energy sources (RESs) will have a significant impact on the prediction of power system inertia, a statistically accurate prediction model for the ...
Wired

Research Reveals the Optimal Way to Optimize

The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...