Projects, Initiatives, Experiments, Adventures¶
This page lists some of the different projects that I'm currently.
Websites¶
Hey It Works! 
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About
Hey It Works! is a tech blog exploring large language models (LLMs), AI, and other fascinating tech topics. Join me as I share insights, experiments, and discoveries in the world of cutting-edge technology.
The LLM Files 
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About
Dive into prompt engineering, large language models (LLMs), and more. A resource for exploring the cutting edge of AI and language technologies.
Daniel Goes Prompting ¶
About
A curated collection of over 3,000 prompts and LLM outputs, showcasing diverse prompt engineering techniques. Aiming to release this as a structured dataset to track the evolution of LLM capabilities.
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.