Introduction

Here's an interview with Adam Grzywaczewski, the senior deep learning architect at NVIDIA. In this interview, we talk about his role, and the interview process to get into such a role, and we learn more about NVIDIA and more interesting insights from Adam. [FOR THE 4080 GIVEAWAY] Comment under this video and send me a screenshot DURING GTC to enter the RTX 4080 (and 10 DLI credits) giveaway! Adam's GTC events: The Possibilities for Natural Language Processing and Large Language Models in Finance: Insights from Deutsche Bank [S51160]: https://www.nvidia.com/gtc/session-catalog/?ncid=ref-inpa-477072&?tab.catalogallsessionstab=16566177511100015Kus&search=#/session/1666078863989001bkfy Connect with the Experts: Deep Learning, Machine Learning, and Data Science [CWES52118]: https://www.nvidia.com/gtc/session-catalog/?ncid=ref-inpa-477072&?tab.catalogallsessionstab=16566177511100015Kus&search=#/session/1670255843552001iaMr ►My Newsletter (A new AI application explained weekly to your emails!): https://www.louisbouchard.ai/newsletter/ ►Support me on Patreon: https://www.patreon.com/whatsai ►Support me through wearing Merch: https://whatsai.myshopify.com/ ►Join Our AI Discord: https://discord.gg/learnaitogether Chapters: 0:00 Hey! Tap the Thumbs Up button and Subscribe. You'll learn a lot of cool stuff, I promise. 00:58 Academic background 07:55 You were trying to scale models, but the hardware didn’t allow you? 09:25 Did you really want a Ph.D. or was it just to work on the project you had in mind? 10:14 Did you already have a goal in mind? Like getting a good job 12:41 How are you assessing the candidate’s capabilities before and during the interview? 14:43 If you have a lot of resumes, are there any projects or degrees that are more interesting than others? 17:41 What is the shape and format of the interview? 20:08 What is a deep learning architect? 21:55 Other than scaling. In what areas are you working on? 23:36 Are you part of a team that supports companies using Nvidia’s products? 24:40 Could you go over the details of a specific project you’ve had? 26:41 Which complicated challenges require your help? 28:15 How do people that work with you deal with large models or data sets? 30:47 So the current challenge is mainly to find which tool to use and how to do it in a cost-effective way? 32:30 Will you talk in GTC about how to scale and deploy NLP models? 33:30 What is your day-to-day like at Nvidia? 37:20 Would you say that AI technology is now more insane than it was in 2017? 38:10 How do you keep up with this fast rate of progress? 39:08 As the field is maturing, would you say that you have to be more specific on what you’re doing compared to 5-6 years ago? 40:06 Is the need for specific knowledge more challenging than when you had to have broader knowledge? 42:54 What is your favorite tool to use? 43:04 What internal tools are you using? 47:00 Are you surprised by the fact that open-source technologies are so powerful? 50:16 What is the biggest challenge in just deploying models? 53:33 So the main challenges come with the complexity of the solution and the randomness?