Sergey — Person Summaries
AI-powered summaries of 13 videos about Sergey.
13 summaries
Wake up babe, a dangerous new open-source AI model is here
A new open-weight image model, Flux from Black Forest Labs, is drawing outsized attention because it combines striking photorealism with strong...
Styling w/ CSS - Django Web Development with Python p.5
Materialize CSS is used to give the Django tutorial site a polished, responsive look without hand-writing large amounts of CSS. Instead of wrestling...
ask me anything.
The livestream’s central message is that career momentum in IT comes less from collecting random credentials and more from learning with a...
Lecture 01: When to Use ML and Course Vision (FSDL 2022)
Machine learning is moving into the mainstream, but the real challenge isn’t getting models to work—it’s deciding when ML is worth the added...
Lecture 1: Introduction to Deep Learning - Full Stack Deep Learning - March 2019
Deep learning’s breakthrough in 2012 wasn’t just a better model—it replaced hand-crafted image features with learned representations, turning “what...
UX for Language User Interfaces (LLM Bootcamp)
Language user interfaces are poised to become the next major step change in computing—replacing menus, forms, and command buttons with text-first...
Lecture 02: Development Infrastructure & Tooling (FSDL 2022)
Machine learning development runs on a “data flywheel,” but getting from an idea to a reliable system at scale depends on disciplined software...
What's Next? (LLM Bootcamp)
Multimodal large language models are rapidly turning into general-purpose “brains” for both software and physical machines—especially robotics—by...
Lecture 07: Foundation Models (FSDL 2022)
Foundation models are driving a shift in AI from task-specific systems toward general-purpose models built by scaling architecture, data, and...
Panel Discussion: Do I need a PhD to work in ML? (Full Stack Deep Learning - Spring 2021)
A PhD is not a universal requirement for working in machine learning; it depends on what kind of ML work someone wants to do and how employers...
Lecture 04: Data Management (FSDL 2022)
Data management is the hidden driver of machine-learning performance: spending far more time on data than on models—especially on dataset quality,...
Lecture 08: ML Teams and Project Management (FSDL 2022)
Machine-learning product teams face a structural problem: ML adds uncertainty, scarce talent, and stakeholder misunderstanding on top of the usual...
Lecture 09: Ethics (FSDL 2022)
Ethics in tech and machine learning comes down to managing three recurring tensions—alignment failures, stakeholder trade-offs, and the need for...