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AI Trends 2023: Causality and the Impact on Large Language Models with Robert Osazuwa Ness - #616

2023-02-14 · 82 min · episode 616 · 13 entities

Asserted relationships

  • evidence rules-v4
    AI Trends 2023: Causality and the Impact on Large Language Models with Robert Osazuwa Ness - #616
  • → hosted by Sam Charrington person
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    evidence rules-v4
    Feed author/publisher: Sam Charrington
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  • → discusses Technology company
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  • → hosted by TWIML company
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    Feed author/publisher: TWIML

Entities found in this episode

concepts 5

  • mentioned Science concept
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    evidence rules-v4
    Feed category: Science
  • mentioned Tech News concept
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    evidence rules-v4
    Feed category: Tech News
  • discusses Science concept
    0.40 · ×2
    evidence rules-v4
    Feed category: Science
  • discusses News concept
    0.40 · ×2
    evidence rules-v4
    Feed category: News
  • discusses Tech News concept
    0.40 · ×2
    evidence rules-v4
    Feed category: Tech News

companys 4

  • mentioned TWIML company
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    Feed author/publisher: TWIML
  • mentioned Technology company
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  • discusses Technology company
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    evidence rules-v4
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  • hosted by TWIML company
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    evidence rules-v4
    Feed author/publisher: TWIML

persons 3

  • mentioned Robert Osazuwa Ness person
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    evidence rules-v4
    AI Trends 2023: Causality and the Impact on Large Language Models with Robert Osazuwa Ness - #616
  • mentioned Sam Charrington person
    0.70 · ×2
    evidence rules-v4
    Feed author/publisher: Sam Charrington
  • hosted by Sam Charrington person
    0.55 · ×2
    evidence rules-v4
    Feed author/publisher: Sam Charrington

podcasts 1

Episode description as stored
Today we’re joined by Robert Osazuwa Ness, a senior researcher at Microsoft Research, to break down the latest trends in the world of causal modeling. In our conversation with Robert, we explore advances in areas like causal discovery, causal representation learning, and causal judgements. We also discuss the impact causality could have on large language models, especially in some of the recent use cases we’ve seen like Bing Search and ChatGPT. Finally, we discuss the benchmarks for causal modeling, the top causality use cases, and the most exciting opportunities in the field.   The complete show notes for this episode can be found at twimlai.com/go/616.