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

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generative AI Explored: Bridging Theory and Practice with Insights from DocQA Implementation

Andhe Dharani, Ritika Singh
Scientific Computing and Data Management
article

Generative AI Explored: Bridging Theory and Practice with Insights from DocQA Implementation

Andhe Dharani, Ritika Singh
article en

Abstract

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.

Openalex Percentile: Top 70%
Scientific Computing and Data Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.