HR-TECH AUTOMATION: A CASE STUDY OF RESUME DESIGN USING GENAI TECHNOLOGIES

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Abstract

With the development of technologies and the increase in the amount of data that companies work with, the use of large language models (LLM) is becoming an integral part of modern business processes. These models not only demonstrate impressive results in natural language processing, but also open up new horizons for automating routine tasks. In particular, in the field of HR-Tech, LLMs can significantly simplify the processes associated with resume processing, which makes them especially relevant for companies seeking to improve the efficiency of their HR departments working with a large amount of text data and resumes of candidates engaged in outstaffing both on the side of customers and contractors.

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APA

Suleykin, A., Babenko, R., & Panfilov, P. (2024). HR-TECH AUTOMATION: A CASE STUDY OF RESUME DESIGN USING GENAI TECHNOLOGIES. In Annals of DAAAM and Proceedings of the International DAAAM Symposium (Vol. 35, pp. 157–164). DAAAM International Vienna. https://doi.org/10.2507/35th.daaam.proceedings.020

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