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From Dark Matter to Voice AI with Deepgram Founder Scott Stephenson

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Manage episode 436619041 series 3563133
Conteúdo fornecido por Madrona Ventures. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Madrona Ventures ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

Today Madrona Managing Director Karan Mahandru and Scott Stephenson, Co-Founder and CEO of Deepgram, a foundational AI company building a voice AI platform providing APIs for speech-to-text and text-to-speech. From medical transcription to autonomous agents, Deepgram is the go-to for developers of voice AI experiences, and they're already working with over 500 companies, including NASA, Spotify, and Twilio.

Today, Scott and Karan dive into the realities of building a foundational AI company, meaning they're building models and modalities from scratch. They discuss the challenges of moving from prototype to production, how startups need to out-fox the hyperscalers while also partnering with them, and, of course, how Scott went from being a particle physicist working on detecting dark matter to building large language models for speech recognition. This is a must-listen for anyone building in AI.

Full Transcript: http://www.madrona.com/founded-funded-deepgram-scott-stephenson

Chapters:

(00:00) Introduction (01:15) From Particle Physics to Voice AI (03:16) The Birth of Deepgram (03:40) Building a Developer-Centric AI Company (06:11) Challenges and Early Decisions (09:49) Navigating the AI Market (13:33) OpenAI's Whisper and Deepgram's Response (17:30) The Future of AI and Speech Recognition (21:59) Deepgram's Real-World Applications (31:19) From Prototype to Production
  continue reading

100 episódios

Artwork
iconCompartilhar
 
Manage episode 436619041 series 3563133
Conteúdo fornecido por Madrona Ventures. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Madrona Ventures ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

Today Madrona Managing Director Karan Mahandru and Scott Stephenson, Co-Founder and CEO of Deepgram, a foundational AI company building a voice AI platform providing APIs for speech-to-text and text-to-speech. From medical transcription to autonomous agents, Deepgram is the go-to for developers of voice AI experiences, and they're already working with over 500 companies, including NASA, Spotify, and Twilio.

Today, Scott and Karan dive into the realities of building a foundational AI company, meaning they're building models and modalities from scratch. They discuss the challenges of moving from prototype to production, how startups need to out-fox the hyperscalers while also partnering with them, and, of course, how Scott went from being a particle physicist working on detecting dark matter to building large language models for speech recognition. This is a must-listen for anyone building in AI.

Full Transcript: http://www.madrona.com/founded-funded-deepgram-scott-stephenson

Chapters:

(00:00) Introduction (01:15) From Particle Physics to Voice AI (03:16) The Birth of Deepgram (03:40) Building a Developer-Centric AI Company (06:11) Challenges and Early Decisions (09:49) Navigating the AI Market (13:33) OpenAI's Whisper and Deepgram's Response (17:30) The Future of AI and Speech Recognition (21:59) Deepgram's Real-World Applications (31:19) From Prototype to Production
  continue reading

100 episódios

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