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1 Ergebnisse
1
Making LLMs Worth Every Penny: Resource-Limited Text Classi..:
, In:
Proceedings of the Fourth ACM International Conference on AI in Finance
,
Loukas, Lefteris
;
Stogiannidis, Ilias
;
Diamantopoulos, Odysseas
.. - p. 392-400 , 2023
Link:
https://dl.acm.org/doi/10.1145/3604237.3626891
RT T1
Proceedings of the Fourth ACM International Conference on AI in Finance
: T1
Making LLMs Worth Every Penny: Resource-Limited Text Classification in Banking
UL https://suche.suub.uni-bremen.de/peid=acm-3626891&Exemplar=1&LAN=DE A1 Loukas, Lefteris A1 Stogiannidis, Ilias A1 Diamantopoulos, Odysseas A1 Malakasiotis, Prodromos A1 Vassos, Stavros PB ACM YR 2023 K1 Anthropic K1 Claude K1 Cohere K1 Few-shot K1 GPT K1 LLMs K1 NLP K1 OpenAI K1 Information systems K1 Computing methodologies K1 Applied computing K1 Information systems applications K1 Machine learning K1 Artificial intelligence K1 Natural language processing K1 Learning paradigms K1 Machine learning approaches K1 Supervised learning K1 Supervised learning by classification SP 392 OP 400 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3604237.3626891 DO https://dl.acm.org/doi/10.1145/3604237.3626891 SF ELIB - SuUB Bremen
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