World Model · podcast knowledge graph

Building AI Voice Agents with Scott Stephenson - #707

2024-10-28 · 62 min · episode 707 · 16 entities

episode page audio

Asserted relationships

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    Building AI Voice Agents with Scott Stephenson - #707
  • → hosted by Sam Charrington person
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    Feed author/publisher: Sam Charrington
  • → works at Deepgram company
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    CEO of Deepgram
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    CEO of Deepgram
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  • → hosted by TWIML company
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    Feed author/publisher: TWIML

Entities found in this episode

companys 7

  • mentioned TWIML company
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    Feed author/publisher: TWIML
  • mentioned Deepgram company
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    CEO of Deepgram
  • mentioned Technology company
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    evidence rules-v4
    Feed category: Technology
  • works at Deepgram company
    0.50
    evidence rules-v4
    CEO of Deepgram
  • works at Deepgram company
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    evidence rules-v4
    CEO of Deepgram
  • discusses Technology company
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    evidence rules-v4
    Feed category: Technology
  • hosted by TWIML company
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    evidence rules-v4
    Feed author/publisher: TWIML

concepts 5

  • 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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    evidence rules-v4
    Feed category: Science
  • discusses News concept
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    evidence rules-v4
    Feed category: News
  • discusses Tech News concept
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    evidence rules-v4
    Feed category: Tech News

persons 3

  • mentioned Scott Stephenson person
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    Building AI Voice Agents with Scott Stephenson - #707
  • 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 Scott Stephenson, co-founder and CEO of Deepgram to discuss voice AI agents. We explore the importance of perception, understanding, and interaction and how these key components work together in building intelligent AI voice agents. We discuss the role of multimodal LLMs as well as speech-to-text and text-to-speech models in building AI voice agents, and dig into the benefits and limitations of text-based approaches to voice interactions. We dig into what’s required to deliver real-time voice interactions and the promise of closed-loop, continuously improving, federated learning agents. Finally, Scott shares practical applications of AI voice agents at Deepgram and provides an overview of their newly released agent toolkit. The complete show notes for this episode can be found at https://twimlai.com/go/707.