As part of an innovative experiment, Springer Nature has become the first publisher to create a whole new academic book by empowering authors to use GPT as part of the integrated workflow. Developed during a —Hack Day— in the Spring which brought together authors, editors and experts from across Springer Nature, the German-language book Einsatzmöglichkeiten von GPT in Finance, Compliance und Audit (Applications of GPT in finance, compliance and audit) has now been published. It took less than five months from inception to publication — about half the time normally taken. . . .
The process was as follows:
- Working simultaneously on six screens, the team defined commands which GPT then executed chapter by chapter to create the first version of the manuscript
- At each stage of the process, the content generated by the Large Language Model (LLM) was reviewed by the authors, who then asked the machine to adapt the text
- This "prompt ping pong" ensured that the knowledge expertise of the authors renowned in their field was combined with the language expertise of the LLM
- After the Hack Day, the authors and Springer Nature’s editorial team further checked, corrected and supplemented the text
- The team then linked the relevant data sources to ensure proper attribution
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