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Environmental Impact of Large-Scale NLP Model Training with Emma Strubell - TWIML Talk #286

2019-07-29 · 37 min · episode 286 · 14 entities

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    Environmental Impact of Large-Scale NLP Model Training with Emma Strubell - TWIML Talk #286
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    Feed author/publisher: Sam Charrington
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  • → hosted by TWIML company
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    Feed author/publisher: TWIML

Entities found in this episode

concepts 6

  • mentioned Science concept
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    Feed category: Science
  • mentioned Tech News concept
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    Feed category: Tech News
  • discusses Science concept
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    Feed category: Science
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    Feed category: News
  • discusses Tech News concept
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    Feed category: Tech News
  • mentioned NLP concept
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    NLP

companys 4

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    Feed category: Technology
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    Feed category: Technology
  • hosted by TWIML company
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    Feed author/publisher: TWIML

persons 3

  • mentioned Emma Strubell person
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    Environmental Impact of Large-Scale NLP Model Training with Emma Strubell - TWIML Talk #286
  • mentioned Sam Charrington person
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    evidence rules-v4
    Feed author/publisher: Sam Charrington
  • hosted by Sam Charrington person
    0.55
    evidence rules-v4
    Feed author/publisher: Sam Charrington

podcasts 1

Episode description as stored
Today we’re joined by Emma Strubell, currently a visiting scientist at Facebook AI Research. Emma’s focus is bringing state of the art NLP systems to practitioners by developing efficient and robust machine learning models. Her paper, Energy and Policy Considerations for Deep Learning in NLP, reviews carbon emissions of training neural networks despite an increase in accuracy. In this episode, we discuss Emma’s research methods, how companies are reacting to environmental concerns, and how we can do b