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cover of episode Ep 46: CEO of DeepL Jarek Kutylowski on Specialized vs. General Models, Beating Google and a Future with Synchronous Translation

Ep 46: CEO of DeepL Jarek Kutylowski on Specialized vs. General Models, Beating Google and a Future with Synchronous Translation

2024/10/29
logo of podcast Unsupervised Learning

Unsupervised Learning

Shownotes Transcript

I sat down with DeepL cofounder Jarek Kutylowski. DeepL is a comprehensive Language AI platform that enables organizations to communicate effectively across languages, cultures, and markets. Jarek shared a treasure trove of insights on the past, present, and future of AI translation. Here were some standout moments:

 

[0:00] Intro[0:38] The Rise of AI and DeepL's Journey[1:41] DeepL's Competitive Edge and Market Impact[2:41] Innovations in AI Translation[4:39] DeepL's Product and Use Cases[7:35] Challenges and Strategies in AI Translation[14:29] Human Translators and Data Labeling[24:39] Building and Scaling AI Infrastructure[32:52] Evaluating AI Models: Objective vs Subjective[34:05] Translation Quality Metrics[35:35] The Debate on AI Moats and Specialized Models[40:16] The Impact of Real-Time Translation on Business[45:05] Challenges in Developing Synchronous Speaking Models[46:49] Adjacent AI Technologies and Their Potential[48:33] Quickfire

 

With your co-hosts: 

@jacobeffron 

  • Partner at Redpoint, Former PM Flatiron Health

 

@patrickachase 

  • Partner at Redpoint, Former ML Engineer LinkedIn

 

@ericabrescia 

  • Former COO Github, Founder Bitnami (acq’d by VMWare)

 

@jordan_segall 

  • Partner at Redpoint