From Data to Documentation: Exploring the Use of ChatGPT's Custom Instructions for Report Generation

Generative artificial intelligence has attracted global attention and interest in software engineering research, practical applications, and in business, especially in the past two years. Tools like Gemini, Copilot, and ChatGPT have been widely studied in various professional contexts for their exceptional ability to produce human-like content. Furthermore, the number of these artificial intelligence tools is increasing explosively. Within this context we have picked a very specific use case: namely, converting notes into a full, uniform report using ChatGPT's custom instructions. In this paper, we present the process of creating custom instructions for a certain task, how the instructions were tested, and the results of our study. The study shows that even though using custom instructions alone is perhaps not quite sufficient yet for fully automatic report generation, the approach can still save a considerable amount of time and resources. This study also highlights the pitfalls and obstacles faced, and should help those who are planning to embark on a similar quest.

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Published
2024-08-29
DOI
https://doi.org/10.1109/is61756.2024.10705184
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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article

From Data to Documentation: Exploring the Use of ChatGPT's Custom Instructions for Report Generation

Petri Rantanen, Janne Harjamäki, Pekka Sillberg, Pekka Abrahamsson et al.
Artificial Intelligence in Healthcare and Education
article

From Data to Documentation: Exploring the Use of ChatGPT's Custom Instructions for Report Generation

Petri Rantanen, Janne Harjamäki, Pekka Sillberg, Pekka Abrahamsson, Mika Saari, Jari Soini
article en

Abstract

Generative artificial intelligence has attracted global attention and interest in software engineering research, practical applications, and in business, especially in the past two years. Tools like Gemini, Copilot, and ChatGPT have been widely studied in various professional contexts for their exceptional ability to produce human-like content. Furthermore, the number of these artificial intelligence tools is increasing explosively. Within this context we have picked a very specific use case: namely, converting notes into a full, uniform report using ChatGPT's custom instructions. In this paper, we present the process of creating custom instructions for a certain task, how the instructions were tested, and the results of our study. The study shows that even though using custom instructions alone is perhaps not quite sufficient yet for fully automatic report generation, the approach can still save a considerable amount of time and resources. This study also highlights the pitfalls and obstacles faced, and should help those who are planning to embark on a similar quest.

Tampere University (FI)
Openalex Percentile: Top 87%
Artificial Intelligence in Healthcare and Education
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From Data to Documentation: Exploring the Use of ChatGPT's Custom Instructions for Report Generation — Petri Rantanen, Janne Harjamäki, et al. · (2024) | TGRS Research Map | TGRS