Zobrazeno 1 - 2
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pro vyhledávání: '"Pepe, Federica"'
Autor:
Pepe, Federica, Zampetti, Fiorella, Mastropaolo, Antonio, Bavota, Gabriele, Di Penta, Massimiliano
Publikováno v:
Proceedings of the 40th IEEE International Conference on Software Maintenance and Evolution (ICSME 2024)
The development of Machine Learning (ML)- and, more recently, of Deep Learning (DL)-intensive systems requires suitable choices, e.g., in terms of technology, algorithms, and hyper-parameters. Such choices depend on developers' experience, as well as
Externí odkaz:
http://arxiv.org/abs/2409.11826
Autor:
Tufano, Rosalia, Mastropaolo, Antonio, Pepe, Federica, Dabić, Ozren, Di Penta, Massimiliano, Bavota, Gabriele
Large Language Models (LLMs) have gained significant attention in the software engineering community. Nowadays developers have the possibility to exploit these models through industrial-grade tools providing a handy interface toward LLMs, such as Ope
Externí odkaz:
http://arxiv.org/abs/2402.16480