A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

ABSTRACT: This paper presents a new dimension reduction strategy for medium and large-scale linear programming problems. The proposed method uses a subset of the original constraints and combines two ...

Algorithms have taken on an almost mythical significance in the modern world. They determine what you see on social media and when browsing online, help form people’s belief systems, and impact the ...

This is two cpp program that one of them for solving Linear Programing(LP) problem with simplex method print step by step simplex tables. it also supports both Big M method and Two-Phase method for ...

In the application of closed hydroponic solutions, the maintenance of ion balance in nutrient solutions is fundamental not only to ensure the productivity and quality of crops but to prolong the ...

Abstract: Based on the simplex method and real-code genetic algorithm, a hybrid computational algorithm has been presented in this paper. In this hybrid genetic algorithm some improved genetic ...