Results 31 to 40 of about 34,912 (272)
Применение роботизированного контента в реализации рекреативных функций массмедиа
Знак: проблемное поле медиаобразования, 2021 В статье рассматриваются проблемы и перспективы использования развлекательного роботизированного контента в массмедиа. Внимания заслуживают как простые технологии чат-ботов, так и современные нейросети (такие как GPT-3), способные создавать пародийный ...
Василиса Бейненсон
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La summarization di testi giuridici: una sperimentazione con GPT-3
Rivista Italiana di Informatica e Diritto, 2023 Nel presente saggio, dopo una breve presentazione dei modelli linguistici BERT e GPT-3, viene discussa la possibilità di usare l’intelligenza artificiale per aumentare le capacità di comunicare l’informazione giuridica e in particolare le informazioni ...
Manola Cherubini +4 more
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Topological Interpretations of GPT-3
, 2023 This is an experiential study of investigating a consistent method for deriving the correlation between sentence vector and semantic meaning of a sentence. We first used three state-of-the-art word/sentence embedding methods including GPT-3, Word2Vec, and Sentence-BERT, to embed plain text sentence strings into high dimensional spaces.
Sun, Tianyi, Nelson, Bradley
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, 2022 This paper provides an introductory survey to GPT-3. We cover some of the historical development behind this technology, some of the key features of GPT-3, and discuss the machine learning model and the datasets used. We survey both academic and commercial efforts applying GPT-3 in diverse domains such as developing conversational AI chatbots, software
Zong, Mingyu, Krishnamachari, Bhaskar
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Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again [PDF]
Conference on Empirical Methods in Natural Language Processing, 2022 The strong few-shot in-context learning capability of large pre-trained language models (PLMs) such as GPT-3 is highly appealing for application domains such as biomedicine, which feature high and diverse demands of language technologies but also high ...
Bernal Jimenez Gutierrez +6 more
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Who is GPT-3? An exploration of personality, values and demographics [PDF]
NLPCSS, 2022 Language models such as GPT-3 have caused a furore in the research community. Some studies found that GPT-3 has some creative abilities and makes mistakes that are on par with human behaviour. This paper answers a related question: Who is GPT-3?
Marilù Miotto +2 more
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Automatic Code Documentation Generation Using GPT-3
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022 Accepted in IEEE/ACM International Conference on Automated Software Engineering (ASE 2022 ...
Junaed Younus Khan, Gias Uddin
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A Brief Report on LawGPT 1.0: A Virtual Legal Assistant Based on GPT-3 [PDF]
arXiv.org, 2023 LawGPT 1.0 is a virtual legal assistant built on the state-of-the-art language model GPT-3, fine-tuned for the legal domain. The system is designed to provide legal assistance to users in a conversational manner, helping them with tasks such as answering
Nguyen Ha Thanh
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Inteligencia Artificial GPT-3, Pretoria y Oráculos Algorítmicos en el Derecho
International Journal of Digital Law, 2020 El artículo trata sobre el tema de la inteligencia artificial y el aprendizaje automático. Aborda el tema de la superinteligencia y el aprendizaje automático como género. Describe el tema del aprendizaje profundo y los oráculos artificiales. Relaciona la
Juan Gustavo Corvalán
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Gender and Representation Bias in GPT-3 Generated Stories
NUSE, 2021 Using topic modeling and lexicon-based word similarity, we find that stories generated by GPT-3 exhibit many known gender stereotypes. Generated stories depict different topics and descriptions depending on GPT-3’s perceived gender of the character in a ...
Li Lucy, David Bamman
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