Generative AI Explored: Bridging Theory and Practice with Insights from DocQA Implementation
Generative AI, a field encompassing models that generate text, images, and various other forms of media, is explored in this work, with a focus on its practical applications through DocQA solutions. This technology has a significant transformation on various industries by offering innovative methods to tackle complex challenges. The discussion provides a detailed overview of Gen AI, including its mechanisms, capabilities, and limitations. It then delves into a case study of DocQA, which is designed to enhance document processing and question answering tasks. By examining real-world applications and outcomes, this work reveals the practical benefits, challenges, and best practices for using Gen AI in document centric workflows. The insights aim to guide practitioners and researchers in effectively integrating Gen AI into their processes, enhancing efficiency and accuracy in managing information.
Authors
- Andhe Dharani (ORCID: https://orcid.org/0000-0001-9740-3882)
- Ritika Singh (ORCID: https://orcid.org/0000-0003-3966-5555)
Publication Details
- Published
- 2024-11-07
- DOI
- https://doi.org/10.1109/csitss64042.2024.10817004
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00