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The Startup World in Generative AI! With Or Gorodissky, VP of R&D at D-ID - What's AI Podcast Episode 6

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Manage episode 372142553 series 3496315
内容由Louis-François Bouchard提供。所有播客内容(包括剧集、图形和播客描述)均由 Louis-François Bouchard 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

This is an interview with Or Gorodissky, VP of R&D at an amazing generative AI startup called D-ID.

This was my first-ever interview! I hope you will still enjoy this mini-series put together and take some good bits of advice out of it...

The first part of this interview focuses on Or's academic background, his Master's degree, and recommendations for doing one and a Ph.D. We then discuss the differences and resemblances between industry vs. academia.

In the second part, we dive into the startup world and, more precisely, the application process and how to optimize your profile to find a job in generative AI as a researcher, ml engineer, or data scientist. Or also explains how he identifies good candidates and gives great tips to improve your resume and stand out. We also dive into who can work as an AI research scientist in generative AI startups and the importance of background differences.

Finally, the third and last part is about working in the startup world. How it is, what is day-to-day life like, applying research papers in the real world, developing state-of-the-art applications, and more!

  continue reading

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Artwork
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Manage episode 372142553 series 3496315
内容由Louis-François Bouchard提供。所有播客内容(包括剧集、图形和播客描述)均由 Louis-François Bouchard 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

This is an interview with Or Gorodissky, VP of R&D at an amazing generative AI startup called D-ID.

This was my first-ever interview! I hope you will still enjoy this mini-series put together and take some good bits of advice out of it...

The first part of this interview focuses on Or's academic background, his Master's degree, and recommendations for doing one and a Ph.D. We then discuss the differences and resemblances between industry vs. academia.

In the second part, we dive into the startup world and, more precisely, the application process and how to optimize your profile to find a job in generative AI as a researcher, ml engineer, or data scientist. Or also explains how he identifies good candidates and gives great tips to improve your resume and stand out. We also dive into who can work as an AI research scientist in generative AI startups and the importance of background differences.

Finally, the third and last part is about working in the startup world. How it is, what is day-to-day life like, applying research papers in the real world, developing state-of-the-art applications, and more!

  continue reading

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