Nicholas Rossi

Single-Shot Prompts Converge Toward Mid Experiences Single-prompt LLM games flatten out.

Inspiration to implementation I recently came across a fascinating blog post titled “The Abundance Problem of Generative Art” that inspired me to explore the creation of a pure Python implementation of the concepts discussed.

TLDR; Notebook necessary to explore this machine-learning process hands-on and generate all the graphs below is available on my github What is dropout and how can we use it to quantify uncertainty?

TLDR; Notebook necessary to explore this data process hands on and generate all the graphs here In this entry in our quantifying uncertainty series, we take our first look at time-series data.

TLDR; Notebook necessary to explore this data process hands on and generate all the graphs here In our previous episode we investigated how ensemble methods could be leveraged to quantify the uncertainty of an underlying data-set.

Uncertainly Quantification and How much we pay for lunch.

Winners and Losers The 2007 financial crisis affected each of us differently, with the “winners” and “losers” falling sharply into economic lines.

For an r/dataisbeautiful challenge I took a look at data surrounding the roman emperors.

 Building Animations in Python While they may be over-hyped these days, animations are a key form of data visualization.

The Worst Airports in America What makes a bad airport?