AI Studios with Natalia Burina Framework for Generative AI Use Cases with Barak Turovsky, Executive in Residence at Scale Venture Partners, ex-Head of Product, Google Languages AI
Barak Turovsky is an Executive in Residence at Scale Venture Partners. Previously Barak was a Director of Product at Google AI where he spent 10 years leading product management and user experience for Languages AI and Google Translate. Most recently, Barak was a CPO of Trax, a global retail tech leader that leverages Computer Vision AI for omnichannel shopping experiences. In this episode we discuss whether the current AI cycle is hype or real, Barak’s framework for evaluating generative AI use cases, how to think about foundational and fine tuned models, the business of AI and more!
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Detailed Breakdown
⏰ 2:05 Barak’s AI Product Career
⏰ 4:13 AI Cycle - Hype or Reality
⏰ 5:44 Barak’s Framework for Evaluating Generative AI Use Cases
⏰ 13:54 Foundational vs Fine Tuned Models
⏰ 18:53 Limitations of Large Language Models
⏰ 22:00 Business of Generative AI
⏰ 25:00 What Generative AI means for Content Generation
⏰ 27:00 Key Considerations for building AI Products
⏰ 32:00 Will AI mean the end of some jobs?
⏰ 38:00 What could make an AI Product and Business defensible?
⏰ 42:00 What Barak is excited about next?
Referenced
* Barak's Framework for Evaluating Generative AI Use Cases (Written Form)
* The Great AI awakening story from New York Times (covering the first-ever productization of deep neural networks with Google Translate), is one of best written stories about ML/AI history and challenges
* Barak’s presentation to Indian Prime Minister Modi when he visited Google campus
* Google Translate vs. La Bamba (Google Translate team playing with visual, AR-based translation feature)
Where to find Barak & his work
* Barak's Interview with GLG Experts Network about Generative AI
* Barak's Keynote at CES 2021 about latest and greatest in Languages AI
Where to find Natalia
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