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Machine learning practitioners often fine-tune generative pre-trained models like GPT-3 to improve model performance at specific tasks.
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Fatemehsadat Mireshghallah, Archit Uniyal, Tianhao Wang, David Evans, and Taylor Berg-Kirkpatrick. 2022 · 2022
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Ildikó Pilán, Pierre Lison, Lilja Øvrelid, Anthi Papadopoulou, David Sánchez, and Montserrat Batet. 2022 · 2022
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Measures for generative artificial intelligence services
CAC. 2023 · 2023
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Nicholas Carlini, Florian Tramer, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom Brown, Dawn Song, Ulfar Erlingsson, Alina Oprea, and Colin Raffel. 2021 · 2021
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Lora: Low-rank adaptation of large language models
Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021 · 2021
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Andor Diera, Nicolas Lell, Aygul Garifullina, and Ansgar Scherp. 2022 · 2022
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Cat Zakrzewski. 2023 · 2023
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