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of 581
pro vyhledávání: '"Schmidt Douglas"'
The rise of large language models (LLMs) is revolutionizing information retrieval, question answering, summarization, and code generation tasks. However, in addition to confidently presenting factually inaccurate information at times (known as "hallu
Externí odkaz:
http://arxiv.org/abs/2304.12512
This paper presents prompt design techniques for software engineering, in the form of patterns, to solve common problems when using large language models (LLMs), such as ChatGPT to automate common software engineering activities, such as ensuring cod
Externí odkaz:
http://arxiv.org/abs/2303.07839
Autor:
White, Jules, Fu, Quchen, Hays, Sam, Sandborn, Michael, Olea, Carlos, Gilbert, Henry, Elnashar, Ashraf, Spencer-Smith, Jesse, Schmidt, Douglas C.
Prompt engineering is an increasingly important skill set needed to converse effectively with large language models (LLMs), such as ChatGPT. Prompts are instructions given to an LLM to enforce rules, automate processes, and ensure specific qualities
Externí odkaz:
http://arxiv.org/abs/2302.11382
Publikováno v:
Journal of Machine Learning Theory, Applications and Practice 2023
Translating natural language into Bash Commands is an emerging research field that has gained attention in recent years. Most efforts have focused on producing more accurate translation models. To the best of our knowledge, only two datasets are avai
Externí odkaz:
http://arxiv.org/abs/2302.07845
Publikováno v:
Open Computer Science, Vol 1, Iss 2, Pp 167-184 (2011)
Externí odkaz:
https://doaj.org/article/38b757d9458949ae9c6d2fa5994c4db5
Publikováno v:
Open Computer Science, Vol 1, Iss 1, Pp 36-57 (2011)
Externí odkaz:
https://doaj.org/article/594b0b5a7f624941be032986b61a7c02
Autor:
Benin Giovani, Carvalho Fernando Irajá Félix de, Oliveira Antonio Costa de, Hartwig Irineu, Schmidt Douglas, Vieira Eduardo Alano, Valério Igor Pires, Silva José Gonzáles da
Publikováno v:
Ciência Rural, Vol 35, Iss 3, Pp 523-529 (2005)
A correlação genotípica permite avaliar a magnitude e a direção da associação entre caracteres, sendo de grande utilidade por permitir a viabilidade do emprego da seleção indireta, que em alguns casos, pode levar a progressos genéticos mais
Externí odkaz:
https://doaj.org/article/d596ca9105404eb9a477206973071ebd
Autor:
Benin Giovani, Carvalho Fernando Irajá Félix de, Oliveira Antônio Costa de, Marchioro Volmir Sergio, Lorencetti Claudir, Kurek Andreomar Jose, Silva José Antonio Gonzalez, Cruz Pedro Jacinto, Hartwig Irineu, Schmidt Douglas André Mallmann
Publikováno v:
Ciência Rural, Vol 33, Iss 4, Pp 657-662 (2003)
Medidas de dissimilaridade são artifícios que os melhoristas de plantas dispõem para identificarem genótipos distantes na obtenção de populações segregantes desejadas. Assim, o presente trabalho foi realizado para estabelecer relação entre
Externí odkaz:
https://doaj.org/article/2b4d84b5181348cc933c4b77098c0f5a
Autor:
Fu, Quchen, Chukka, Ramesh, Achorn, Keith, Atta-fosu, Thomas, Canchi, Deepak R., Teng, Zhongwei, White, Jules, Schmidt, Douglas C.
Publikováno v:
Journal of Machine Learning Theory, Applications and Practice (2023)
GPUs have been favored for training deep learning models due to their highly parallelized architecture. As a result, most studies on training optimization focus on GPUs. There is often a trade-off, however, between cost and efficiency when deciding o
Externí odkaz:
http://arxiv.org/abs/2206.10034