Large language models (LLMs), such as OpenAI’s GPT-4, Google’s Bard or Meta’s LLaMa, have created unprecedented opportunities for analysing and generating language data on a massive scale. Because language data have a central role in all areas of psychology, this new technology has the ...
Large language models (LLMs), such as OpenAI's GPT-4, Google's Bard or Meta's LLaMa, have created unprecedented opportunities for analysing and generating language data on a massive scale. Because language data have a central role in all areas of psychology, this new technology has the ...
PDF 引用 收藏 摘要原文 We study GPT-3, a recent large language model, using tools from cognitivepsychology. More specifically, we assess GPT-3's decision-making, informationsearch, deliberation, and causal reasoning abilities on a battery of canonicalexperiments from the literature. We find ...
large language models (LLMs) like GPT-4o7have showcased impressive capabilities in understanding and generating natural language. By leveraging these models, we can extract subtle linguistic and behavioral features indicative of
Transformer models such as GPT generate human-like language and are predictive of human brain responses to language. Here, using functional-MRI-measured brain responses to 1,000 diverse sentences, we first show that a GPT-based encoding model can predict the magnitude of the brain response associa...
(Monkeypox) Research Ethics Topics and Collections Visual Abstracts War and Health Women's Health Featured Articles CONSERVE 2021 Guidelines for Reporting Trials Modified for the COVID-19 Pandemic Creation and Adoption of Large Language Models in Medicine Global Burden of Cancer, 2010-2019 Global ...
Deep learning techniques can help discriminate facial configurations associated with vocalisations over large datasets. We extracted and labelled frames of different primate species, trained deep-learning models to identify key points on their faces, and computed distances between them to identify facial ...
In a third example, a result from the search term “trashcan” retrieved something that “might be a bit large for a household” but that the participant (P3) could still “probably work with”. Across these examples, even though the parts were what they expected (i.e., a hinge part...
Transfers of resources in dictator games vary significantly by the characteristics of recipients. We focus on social norms and demonstrate that variation i
The use of routinely collected clinical information including blood-based biomarkers taken at FEP onset can help to predict the individual risk of clozapine use, and should be considered equally alongside other potentially useful information such as symptom scores in large-scale efforts to predict ...