Net impact of large language models trained on code

GHERCIU, Pavel

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dc.contributor.author	GHERCIU, Pavel
dc.date.accessioned	2022-08-12T06:23:26Z
dc.date.available	2022-08-12T06:23:26Z
dc.date.issued	2022
dc.identifier.citation	GHERCIU, Pavel. Net impact of large language models trained on code. In: Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor = Technical Scientific Conference of Undergraduate, Master and PhD Students, Universitatea Tehnică a Moldovei, 29-31 martie 2022. Chișinău, 2022, vol. 1, pp. 189-192. ISBN 978-9975-45-828-3. ISBN 978-9975-45-829-0 (Vol.1).	en_US
dc.identifier.isbn	978-9975-45-828-3
dc.identifier.isbn	978-9975-45-829-0
dc.identifier.uri	http://repository.utm.md/handle/5014/20709
dc.description.abstract	Natural language processing has seen many improvements in recent years, particularly driven by machine learning models such as OpenAI’s GPT-3. This paper aims to present the various language models, as well as OpenAI Codex, which is considered to be an AI revolution in the field of programming. This system has been trained on Python code from more than 50 million GitHub repositories and is capable of generating and explaining code, translating it between various programming languages and more. In addition, the benefits and potential dangers of its use will be analysed and presented.	en_US
dc.language.iso	en	en_US
dc.publisher	Universitatea Tehnică a Moldovei	en_US
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	artificial intelligence	en_US
dc.subject	code generation	en_US
dc.subject	language models	en_US
dc.subject	machine learning	en_US
dc.subject	natural language processing	en_US
dc.title	Net impact of large language models trained on code	en_US
dc.type	Article	en_US