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Yarin Gal

Biographic Data

ID10714717
NAMEYarin Gal
GIVEN NAMESYarin
FAMILY NAMEGal
SIGNATUREGAL Y
AFFILIATIONSScience Oxford
ORCID0000-0002-2733-2078
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2024
H-INDEX0
  • AI models collapse when trained on recursively generated data

    Open Access•Ilia Shumailov, Zakhar Shumaylov et al.•ARTICLE•Nature•2024

    Stable diffusion revolutionized image creation from descriptive text. GPT-2 (ref. 1 ), GPT-3(.5) (ref. 2 ) and GPT-4 (ref. 3 ) demonstrated high performance across a variety of language tasks. ChatGPT introduced such language models to the public. It is now clear that generative artificial intelligence (AI) such as large language models (LLMs) is here to stay and will substantially change the ecosystem of online text and images. Here we consider …

  • Inferring the effectiveness of government interventions against Covid-19

    Open Access•Jan Brauner, Sören Mindermann et al.•ARTICLE•Science•2021

    How to hold down transmission Early in 2020, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission was curbed in many countries by imposing combinations of nonpharmaceutical interventions. Sufficient data on transmission have now accumulated to discern the effectiveness of individual interventions. Brauner et al. amassed and curated data from 41 countries as input to a model to identify the individual nonpharmaceutical interve…

No prominent works on this page.

  • Inferring the effectiveness of government interventions against Covid-19

    Open Access•Jan Brauner, Sören Mindermann et al.•ARTICLE•Science•2021

    How to hold down transmission Early in 2020, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission was curbed in many countries by imposing combinations of nonpharmaceutical interventions. Sufficient data on transmission have now accumulated to discern the effectiveness of individual interventions. Brauner et al. amassed and curated data from 41 countries as input to a model to identify the individual nonpharmaceutical interve…

  • AI models collapse when trained on recursively generated data

    Open Access•Ilia Shumailov, Zakhar Shumaylov et al.•ARTICLE•Nature•2024

    Stable diffusion revolutionized image creation from descriptive text. GPT-2 (ref. 1 ), GPT-3(.5) (ref. 2 ) and GPT-4 (ref. 3 ) demonstrated high performance across a variety of language tasks. ChatGPT introduced such language models to the public. It is now clear that generative artificial intelligence (AI) such as large language models (LLMs) is here to stay and will substantially change the ecosystem of online text and images. Here we consider …

Computer Science (2 works) · 2019-20 coronavirus outbreak (1 work) · Artificial Intelligence (1 work) · Business (1 work) · Closing (real estate) (1 work) · Cognitive science (1 work) · Coronavirus disease 2019 (COVID-19) (1 work) · COVID-19 and Mental Health (1 work) · COVID-19 epidemiological studies (1 work) · COVID-19 Pandemic Impacts (1 work)

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