From Data Engineering to Prompt Engineering
- Data engineering makes up a large part of the data science process. In CRISP-DM this process stage is called "data preparation". It comprises tasks such as data ingestion, data transformation and data quality assurance. In our article we solve typical data engineering tasks using ChatGPT and Python. By doing so, we explore the link between data engineering and the new discipline of prompt engineering.
Author: | Christian KochORCiD, Markus Stadi, Lukas Berle |
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URN: | urn:nbn:de:bvb:92-opus4-10829 |
URL / DOI: | https://medium.com/towards-data-science/from-data-engineering-to-prompt-engineering-5debd1c636e0 |
Parent Title (English): | Towards Data Science |
Subtitle (English): | Solving data preparation tasks with ChatGPT |
Publisher: | Medium |
Document Type: | Other |
Language: | English |
Date of first Publication: | 2023/05/23 |
Publishing Institution: | Technische Hochschule Nürnberg Georg Simon Ohm |
Release Date: | 2023/09/25 |
Tag: | ChatGPT; Data Engineering; Large Language Model; Prompt Engineering; Python |
GND Keyword: | Künstliche Intelligenz; Natürlichsprachiges System |
Pagenumber: | 9 (ungezählt) |
institutes: | Fakultät Betriebswirtschaft |
Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke |
Licence (German): | Creative Commons - CC BY - Namensnennung 4.0 International |