Projects, Initiatives, Experiments, Adventures¶
This page lists some of the different projects that I'm currently.
Websites¶
The LLM Files 
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About
Prompt engineering, large language models, and more.
Daniel Goes Prompting ¶
About
A large collection of over 3,000 prompts and LLM outputs that I’ve gathered since this summer. This collection demonstrates various prompt engineering techniques. My goal is to eventually release it as a structured dataset, showcasing the evolving capabilities of LLMs over time.
Tech Blog 
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About
A blog where I post about tech-related subjects. You’ll find a variety of articles on tools, software, and other technology topics that interest me.
Hugging Face Spaces¶
LLM Long Code-Gen Experiment¶
Experiment evaluating the ability of various large language models to generate a lengthy continuous output in response to a detailed prompt, including analysis of the percentage of code contained within the various outputs.
Streamlit Apps & Data Viz¶
Value Factors Data Visualisation¶
About
An organization which I work with, the International Foundation for Valuing Impacts, has set itself the intriguing objective of devising methodologies to quantify companies' non financial impacts in monetary terms. In late 2024, the organization released a substantial dataset of these so-called value factors. This app shares some of that data.
GHG Emissions Calculator¶
About
Various prices have been set over the years proposing to determine what the cost of a ton of carbon dioxide or carbon dioxide equivalents should be to capture the damage their release has on the environment and ecosystems. As companies are increasingly disclosing their emissions across all three commonly reported scopes, it's interesting to compare financial performance against these datapoints which can be seen as a proxy for overall commitment to sustainability. This calculator provides a simple tool for computing compaies' profitability offset against GHG emissions "monetized"at a recently proposed rate.
GHG Explorer¶
About
This Streamlit app is backed by emissions data gathered from public sources. It charts the monetized emissions against disclosed profitability. The various shapes of the charts emerge in show how companies in different industrial sectors can have remarkably different environmental footprints, especially if those were converted to currency.