Generative AI interview with a Google AI Engineer

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In this episode of the Emerging Tech Unpacked podcast, host Lucy Lin delves deeper into the topic of generative AI alongside Nilram Azadpeyma, a machine learning cloud engineer at Google. They discuss the evolution of large language models, their rapid adoption, and practical applications in marketing, segmentation, and personalised experiences. They also explore the future of generative AI, addressing both benefits and misconceptions, while Nilram shares her personal journey, including overcoming imposter syndrome and the importance of mentorship. The conversation provides valuable insights into emerging technologies and their potential to facilitate a more inclusive and productive future.

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Timestamp:

00:00 Welcome & Introduction to Generative AI

00:18 Interview with Nilram Azadpeyma: A Woman in STEM

00:35 Niram's Journey into Generative AI

02:09 Understanding Generative AI: Basics to Advanced

05:40 Generative AI's Rapid Adoption and Impact

08:21 The Future of Generative AI: Hype or Hope?

10:25 Practical Applications and Use Cases of Generative AI

13:51 Beyond Content Creation: Expanding Generative AI's Horizons

16:00 Personalisation and Segmentation with Generative AI

20:26 New Developments in Generative AI: A Look Ahead

23:43 Learning and Pivoting in the Generative AI Space

28:17 Navigating Career and Cultural Transitions

28:40 Building Resilience Through Change

30:49 Overcoming Imposter Syndrome

35:11 The Power of Support and Mentorship

37:00 Diversity and Inclusion in Tech

39:30 The Future of Work with Generative AI

41:33 Embracing Generative AI for a More Inclusive Society

47:35 Practical Advice for Pursuing a Career in Generative AI

49:39 Reflecting on the Journey and Looking Ahead