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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.

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Metadaten
Author:Christian KochORCiD, Markus Stadi, Lukas Berle
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
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