I this online workshop I introduced artists, academics and activist to tools for finding digital resources and scraping data for research purposes.Read More

In this short course on text generation with large language models I introduce students to the basic concepts surrounding transformer models and how they differ from previous approaches to language generation. I also introduce students to concerns surrounding training data, biases, and the energy costs of training large models. In the hands on component of the workshop, I guide students through a python notebook that introduces them to concepts such as prompt engineering, fine turning and methods for studying biases in text generation output. The notebook is structured in a way as to not require knowledge of python to complete, while still giving students a deeper understanding of how text generation models work. Read More