Results 11 to 20 of about 34,912 (272)
GPT‐3: Its Nature, Scope, Limits, and Consequences [PDF]
SSRN Electronic Journal, 2020 In this commentary, we discuss the nature of reversible and irreversible questions, that is, questions that may enable one to identify the nature of the source of their answers. We then introduce GPT-3, a third-generation, autoregressive language model that uses deep learning to produce human-like texts, and use the previous distinction to analyse it ...
Luciano Floridi, Massimo Chiriatti
semanticscholar +3 more sources
What Makes Good In-Context Examples for GPT-3? [PDF]
Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, 2022 GPT-$3$ has attracted lots of attention due to its superior performance across a wide range of NLP tasks, especially with its powerful and versatile in-context few-shot learning ability. Despite its success, we found that the empirical results of GPT-$3$ depend heavily on the choice of in-context examples. In this work, we investigate whether there are
Liu, Jiachang +5 more
openaire +3 more sources
Can GPT-3 Perform Statutory Reasoning? [PDF]
Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023 10 ...
Andrew Blair-Stanek +2 more
openaire +3 more sources
Prompting GPT-3 To Be Reliable [PDF]
International Conference on Learning Representations, 2022 ICLR ...
Si, Chenglei +6 more
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GPT-3: What’s it good for? [PDF]
Natural Language Engineering, 2020 AbstractGPT-3 made the mainstream media headlines this year, generating far more interest than we’d normally expect of a technical advance in NLP. People are fascinated by its ability to produce apparently novel text that reads as if it was written by a human. But what kind of practical applications can we expect to see, and can they be trusted?
R. Dale
openaire +2 more sources
Artificial Intelligence and Ten Societal Megatrends: An Exploratory Study Using GPT-3
Systems, 2023 This paper examines the potential of artificial intelligence (AI) to address societal megatrends, with a specific focus on OpenAI’s Generative Pre-Trained Transformer 3 (GPT-3).
Daniela Haluza, David Jungwirth
doaj +2 more sources
PAC-GPT: A Novel Approach to Generating Synthetic Network Traffic With GPT-3
IEEE Access, 2023 The application of machine learning models, particularly in cybersecurity, has surged significantly in the past few years. However, the effectiveness of these models is predominantly tethered to the quality and breadth of the training data they ingest ...
Danial Khosh Kholgh, Panos Kostakos
doaj +2 more sources
Quick review of pedagogical experiences using GPT-3 in education
Journal of Technology and Science EducationGPT-3 is a neuronal language model that performs tasks such as classification, question-answering and text summarization. Although chatbots like BlenderBot-3 work well in a conversational sense, and GPT-3 can assist experts in evaluating questions, they ...
Joel Manuel Prieto Andreu +1 more
doaj +2 more sources
Big Data and Cognitive Computing, 2023 Large Language Models (LLMs) are becoming increasingly integrated into our lives. Hence, it is important to understand the biases present in their outputs in order to avoid perpetuating harmful stereotypes, which originate in our own flawed ways of ...
Katherine Abramski +4 more
doaj +2 more sources
Summarizing, Simplifying, and Synthesizing Medical Evidence Using GPT-3 (with Varying Success). [PDF]
Proc Conf Assoc Comput Linguist Meet, 2023 Large language models, particularly GPT-3, are able to produce high quality summaries ofgeneral domain news articles in few- and zero-shot settings.
Shaib C +5 more
europepmc +3 more sources