What's AI Podcast by Louis-François Bouchard

From Microsoft GitHub to Google DeepMind - Paige Bailey on AI Research and Products. What's AI Ep. 21

Nov 8, 2023

Paige Bailey, Lead product manager at Google DeepMind and previously working at Microsoft GitHub, talks about the democratization of AI, advancements in AI-assisted coding, and the ethics of innovation. They also discuss the challenges of training large foundational models, the importance of model size for language models, and the potential impact of generative models on the future of work and education.

01:09:50

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Episode guests

Paige Bailey

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Quick takeaways

Generative AI has democratized luxury experiences previously only available to the ultra-rich by making transformative technologies accessible to everyone.

The integration of AI features directly within IDEs has inspired further tools and advancements in the ecosystem for code completion systems.

Smaller models with domain-specific fine-tuning and well-designed products around them can provide impressive performance and accessibility.

Deep dives

Transformative Technologies for Everyone

Generative AI has allowed transformative technologies that were previously only available to the ultra-rich, such as having a personal chauffeur or personal shopper, to be accessible to everyone. These technologies, like Uber and Instacart, have democratized luxury experiences. The power of generative AI is evident in the immense scale of training massive foundational models, which can take months even for companies like Google or OpenAI. The importance of pre-training and data addition is emphasized, as missing the opportunity for data inclusion can lead to significant delays. The interview features Paige Bailey, the lead product manager at Google DeepMind, who shares insights on generative AI and its use in various products and fields.

Introduction

2min

Using Language Models in Education

18min

The Importance of Model Size for Language Models

23min

Democratizing AI and Education

8min

Opinions on the Necessity of PhD and Master's Degrees

2min

Entering the Generative AI Field

5min

Improving Communication Within Teams

11min

This week I received Paige Bailey, Lead product manager at Google DeepMind and previously working at Microsoft GitHub building Copilot. In this episode, we discussed the democratization of AI, advancements in AI-assisted coding, and the ethics of innovation. Discover how AI is subtly reshaping our everyday experiences and the realm of software engineering.

Follow Paige Bailey on all platforms, https://twitter.com/DynamicWebPaige ►Twitter: https://twitter.com/Whats_AI ►My Newsletter (My AI updates and news clearly explained): https://louisbouchard.substack.com/ ►Support me on Patreon: https://www.patreon.com/whatsai ►Join Our AI Discord: https://discord.gg/learnaitogether How to start in AI/ML - A Complete Guide: ►https://www.louisbouchard.ai/learnai/ Become a member of the YouTube community, support my work and get a cool Discord role: https://www.youtube.com/channel/UCUzGQrN-lyyc0BWTYoJM_Sg/join

Timestamps:

01:27 Introduction of Paige Bailey

03:29 External coding assistants vs In-built copilots of IDEs

08:10 Problem: Beginners using ChatGPT without a core understanding of the subject

15:08 Solving hallucination (At least trying!)

19:29 Does size matters for models?

22:12 Making small products competent for big products (SAFELY!)

26:57 Paige's role as a Product manager in DeepMind

29:46 Paige shares what it's like to work in a constantly innovating space as a product manager.

33:36 When should you establish an AI research team in your startup?

35:45 Using GPT-4 to finetune your smaller models for commercial use isn't allowed (But it's good tho!)

37:48 Paige's suggestions for Model Fine-tuning

41:42 AI will not increase the gap b/w rich and poor (Hopefully!)

44:33 AI's effects on job roles and eligibility requirements

48:56 Master's or PhD degree may not be as relevant in the AI age

51:19 Paige's advice for AI newcomers

54:31 Is having theoretical knowledge of the technology behind models relevant?

56:13 Paige's tips for good team communication

59:20 Communication tips for job-seeking newcomers

01:01:15 Paige shares the kind of features she wants in the AI

01:03:11 Paige suggests skills for beginners who want to enter MLOps.

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