State Space Models and Real-time Intelligence with Karan Goel and Albert Gu from Cartesia

No Priors: Artificial Intelligence | Technology | Startups

Contenuto fornito da Conviction and Conviction | Pod People. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Conviction and Conviction | Pod People o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

17d ago 34:08

MP3•Pagina principale dell'episodio

This week on No Priors, Sarah Guo and Elad Gil sit down with Karan Goel and Albert Gu from Cartesia. Karan and Albert first met as Stanford AI Lab PhDs, where their lab invented Space Models or SSMs, a fundamental new primitive for training large-scale foundation models. In 2023, they Founded Cartesia to build real-time intelligence for every device. One year later, Cartesia released Sonic which generates high quality and lifelike speech with a model latency of 135ms—the fastest for a model of this class.

Show Notes:

(0:00) Introduction

(0:28) Use Cases for Cartesia and Sonic

(1:32) Karan Goel & Albert Gu’s professional backgrounds

(5:06) State Space Models (SSMs) versus Transformer Based Architectures

(11:51) Domain Applications for Hybrid Approaches

(13:10) Text to Speech and Voice

(17:29) Data, Size of Models and Efficiency

(20:34) Recent Launch of Text to Speech Product

(25:01) Multimodality & Building Blocks

(25:54) What’s Next at Cartesia?

(28:28) Latency in Text to Speech

(29:30) Choosing Research Problems Based on Aesthetic

(31:23) Product Demo

(32:48) Cartesia Team & Hiring

72 episodi

#Science #Tech #Entrepreneur #Business #Convicted #Pod People