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From Dark Matter to Voice AI with Deepgram Founder Scott Stephenson
Manage episode 436619041 series 3563133
Το περιεχόμενο παρέχεται από το Madrona Ventures. Όλο το περιεχόμενο podcast, συμπεριλαμβανομένων των επεισοδίων, των γραφικών και των περιγραφών podcast, μεταφορτώνεται και παρέχεται απευθείας από τον Madrona Ventures ή τον συνεργάτη της πλατφόρμας podcast. Εάν πιστεύετε ότι κάποιος χρησιμοποιεί το έργο σας που προστατεύεται από πνευματικά δικαιώματα χωρίς την άδειά σας, μπορείτε να ακολουθήσετε τη διαδικασία που περιγράφεται εδώ https://el.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 Production100 επεισόδια
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