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Model Plateaus and Enterprise AI Adoption with Cohere's Aidan Gomez

2024-11-21 · 44 min · episode 91 · 12 entities

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Asserted relationships

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    Model Plateaus and Enterprise AI Adoption with Cohere's Aidan Gomez
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  • → hosted by Conviction company
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Entities found in this episode

concepts 8

  • mentioned Science concept
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  • mentioned Technology concept
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  • mentioned Business concept
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  • mentioned Entrepreneurship concept
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  • discusses Science concept
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    Feed category: Science
  • discusses Technology concept
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    evidence rules-v4
    Feed category: Technology
  • discusses Business concept
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    Feed category: Business
  • discusses Entrepreneurship concept
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    evidence rules-v4
    Feed category: Entrepreneurship

companys 2

  • mentioned Conviction company
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    Feed author/publisher: Conviction
  • hosted by Conviction company
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    Feed author/publisher: Conviction

persons 1

  • mentioned Cohere's Aidan Gomez person
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    Model Plateaus and Enterprise AI Adoption with Cohere's Aidan Gomez

podcasts 1

Episode description as stored
In this episode of No Priors, Sarah is joined by Aidan Gomez, cofounder and CEO of Cohere. Aidan reflects on his journey to co-authoring the groundbreaking 2017 paper, “Attention is All You Need,” during his internship, and shares his motivations for building Cohere, which delivers AI-powered language models and solutions for businesses. The discussion explores the current state of enterprise AI adoption and Aidan’s advice for companies navigating the build vs. buy decision for AI tools. They also examine the drivers behind the flattening of model improvements and discuss where large language models (LLMs) fall short for predictive tasks. The conversation explores what the market has yet to account for in the rapidly evolving AI ecosystem, as well as Aidan’s personal perspectives on AGI—what it might look like and when it could arrive. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @AidanGomez Show Notes: 0:00 Introduction 0:36 Co-authoring “Attention is all you need” 2:27 Leaving Google and founding Cohere 4:04 Cohere’s mission and models 6:15 Pitfalls of current AI  8:14 How enterprises are deploying AI today 10:58 Build vs. buy strategy for AI tools 14:37 Barriers to enterprise adoption  20:04 Which types of companies should pretrain models? 24:25 Addressing flaws in open-source models 25:12 Current and expected progress in scaling laws 29:54 Advances in multi-step problem solving and reasoning 32:29  Key drivers behind the flattening curve of model improvements  36:25 Exploring AGI 39:59 Limitations of LLMs 42:10 What the market has mispriced