I gave my first conference talk ever at Codecamp Iasi in 2011, and it went well enough to convince me to be a regular speaker ever since.
Below you’ll find some of my favorite recorded sessions and/or interviews. Keep in mind that the slides for most of them are on Speaker Deck and the code is available on GitHub.
A primer on how large language models work, with a focus on retrieval augmented generation, plus a demo of the world's simplest internet-connected chatbot.
GitHub Codespaces, GitHub Copilot, and GPT-4 working together to reshape the way developers create, test, and maintain code.
Talking and demo-ing with Seth about Stable Diffusion, a recently released open-source generative model able to generate high-fidelity images based on text descriptions, and how we can run and extend it with ease using Azure GPU Compute Instances.
How to do real-time machine learning using the new Azure ML Online Endpoints, why pick them over the old Azure Container Instances, and how to pick between batch and real-time machine learning.
Interviewed on what is it like to work in the field, how do you get started with AI, and more.
An in-depth look at Microsoft's Automated Machine Learning library, gradually training and decomposing a model able to achieve top 4% scores in Kaggle's Titanic competition.
The differences between the two most popular (at the time) options of doing machine learning in the Azure cloud - Azure Machine Learning Service and Azure Machine Learning Studio (classic).
A very hands-on intro to Azure Machine Learning Studio classic and Kaggle competitions.
A quick look at the major types of recommender systems, their advantages and disadvantages, and how they can be used effectively.