Building with #GenAI from First Principles

Hosted by Hugo Bowne-Anderson and Stefan Krawczyk

Share with your network

What you'll learn

What is first principles thinking?

We'll cover what we mean by this in the context of building with GenAI.

The challenge with non-determinism

We'll cover the challenge and an overview of what approaches you can use to handle this.

A high level take away of what's required for a great SDLC

Demoware is fun, but it doesn't lead to production. We'll cover the components required in a SDLC to handle GenAI.

Why this topic matters

Building reliable AI is hard. A lot of people fail to ship, and when they do it's a long road to get there. In this lightning course, we'll preview our main course on how to think and deliver with GenAI using first principles thinking. First principles rarely change and knowing how to use them will help ground your efforts to build reliable GenAI products more quickly and with confidence.

You'll learn from

Hugo Bowne-Anderson

Podcaster, Educator, DS & ML expert

Hugo Bowne-Anderson is an independent data and AI consultant with extensive experience in the tech industry. He is the host of the industry Vanishing Gradients, where he explores cutting-edge developments in data science and artificial intelligence. As a data scientist, educator, evangelist, content marketer, and strategist, Hugo has worked with leading companies in the field. His past roles include Head of Developer Relations at Outerbounds, a company committed to building infrastructure for machine learning applications, and positions at Coiled and DataCamp, where he focused on scaling data science and online education respectively. Hugo's teaching experience spans from institutions like Yale University and Cold Spring Harbor Laboratory to conferences such as SciPy, PyCon, and ODSC. He has also worked with organizations like Data Carpentry to promote data literacy. His impact on data science education is significant, having developed over 30 courses on the DataCamp platform that have reached more than 3 million learners worldwide. Hugo also created and hosted the popular weekly data industry podcast DataFramed for two years. Committed to democratizing data skills and access to data science tools, Hugo advocates for open source software both for individuals and enterprises.

Stefan Krawczyk

13+years in MLOps: Ex-Stitch Fix, Ex-Nextdoor, Ex-LinkedIn.

Stefan Krawczyk is the co-founder and CEO of DAGWorks, an open-source company driving two projects: Hamilton & Burr, whose mission to empower developers to build reliable AI agents & applications. He is a Y Combinator alum, StartX alum, and a Stanford graduate with a Master of Science in Computer Science with Distinction in Research. He has over thirteen years of experience in building and leading data & ML-related systems and teams, at companies like Stitch Fix, Idibon, Nextdoor, and Linkedin, his passion is to make others more successful with data by bridging the engineering gap between data science, machine learning, artificial intelligence, and the business. 

Built, shipped, and lectured at:

Stitch Fix
LinkedIn
Stanford University
Yale University
Outerbounds

Watch the recording for free

By continuing, you agree to Maven's Terms and Privacy Policy.

© 2024 Maven Learning, Inc.