April 17, 2024, 4:43 a.m. | S Deepika Sri, Mohammed Aadil S, Sanjjushri Varshini R, Raja CSP Raman, Gopinath Rajagopal, S Taranath Chan

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.10678v1 Announce Type: cross
Abstract: In the contemporary landscape of technological advancements, the automation of manual processes is crucial, compelling the demand for huge datasets to effectively train and test machines. This research paper is dedicated to the exploration and implementation of an automated approach to generate test cases specifically using Large Language Models. The methodology integrates the use of Open AI to enhance the efficiency and effectiveness of test case generation for training and evaluating Large Language Models. This …

abstract api arxiv automated automation cases cs.lg cs.se datasets demand exploration generate implementation landscape llm machines paper processes research research paper rest rest api test train type

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US