Code Story episode

S4 E3: The Tech Behind LLM Data Pipelines: Optimizing AI Infrastructure with Activeloop’s Davit Buniatyan

Jan 19, 2021 · Season 4 · Episode 3 · 30 min

Making machine learning more efficient

Davit Buniatyan is originally from Armenia. He completed his high school years there, until he was 17, when he started to pursue his undergrad in the UK at UCL. He entered into his college years, excited about animation from seeing Pixar movies. He learned all about 3d models, graphics and rendering - but then found out there was no course or curriculum specially for animation. So he switched to comp sci, which ended up being perfect.

He is into swimming, tennis and shotokan - which is traditional Japanese karate. Along with these, he's been playing chess since he was 5 years old, and is an avid fan of the show Queen's Gambit on Netflix.

When he started in on his PHD at Princeton, he started working with large data sets to recreate neural networks. In doing so, he realized how much computational power was required to learn from even a small - large scale data set. With this, he set out to build a tool to make companies more efficient at learning from their data.

This is the creation story of Activeloop.