Citation :

Kodanda Rami Reddy, 2023. "Integrating Generative AI in Quality Control Processes" ESP International Journal of Advancements in Computational Technology (ESP-IJACT)  Volume 1, Issue 1: 62-71.

Abstract :

The role of generative AI in digitization and automation has grown as many generative techniques, such as transformers, are increasingly able to create human-consistent and/or close-to-real media and content. These AI models are becoming quicker, more accessible, and more enhanced. We research the current generative AI abilities, specifically GPT, about private use quality control to see if it can provide value. We dedicate our paper to applications of generative AI where calls made have low risk through its permeating characteristics or humans in the loop in-use conditions. We demonstrate how organizations can integrate generative AI into their quality control processes and suggest strategies to improve risk controlling when generative AI guilelessly produces quantum AI to be examined or directly impact the business goals. The value of using generative AI collaboratively with human knowledge to strengthen both the threshold of work and specialist code of conduct in the measuring laboratory of thorough automated control is revealed through a critical investigation. This investigation extends current streams on generative AI, especially in its adoption for knowledge creation, and also develops the literature on digitization and automation of quality control processes. Companies and other organizations can use our results to assist quality experts in identifying their quality control starting points and challenges and to understand when different generative AI can potentially be included to facilitate improvement.

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Keywords :

High-Performance Computing, Artificial Intelligence, FPGA, GPU, Programmability, Power Consumption, Parallel Processing, Energy Efficiency.