During class today we moved our get_fx function from the agent development notebook into a standalone script called exchangerates.py. This script fetches the latest exchange rates from an API and u...

This week, we upgrade our agent project from local-only experiments to a cloud database setup. We will connect GitHub Copilot to Supabase through MCP so you can create tables, inspect data, and upd...

Here you can find all the links you need to pick up if I managed to inspire you. Thanks for having me today, Busan! The Toolkit These three tools form the foundation. They are free, cross-platf...

In our previous class we wrapped our Azure model in a LangChain agent gave it some tools to interact with outside of its inbuilt knowledge. We built a simple web-scraping tool and a dummy FX conver...

In a previous class we deployed a model on Azure Foundry and sent it some questions directly through the API. That was great, but an LLM itself can only work with whatever you feed it in the promp...

Last week we deployed a cheap model on Azure Foundry and tested it with a simple prompt. This week we are going to put it to use: we are going to scrape the menu data from our university cafeteria ...

At the beginning of the semester we activated our student perks for several cloud platforms, including Microsoft Azure, GitHub and Google Cloud. We can put our $100 Azure credits to work in Microso...

Before we can start working on our projects this semester, we need to make sure that our systems are ready. This guide will help you set up your system with the necessary tools and software. Di...

If you have decided to continue with this semester’s Human-AI Interaction in Data Science course after the the orientation session, make sure to follow and complete the steps below before next clas...

In the previous lecture we scraped web content, sliced it into bite-sized pieces and stored the chunks plus their semantic embeddings in a vector database. Now it’s time to feast on that data using...