GPT and Beyond: The Technical Foundations of LLMs | by TDS Editors | Aug, 2023
In just a few short months, large language models moved from the realm of specialized researchers into the everyday workflows
- August 3, 2023
A Step-by-Step Guide to Building an Effective Data Quality Strategy from Scratch | by David Rubio | Aug, 2023
Monitoring All the actions and goals defined in your data quality strategy need to be actively monitored. Utilising monitoring tools
- August 2, 2023
Mastering Monte Carlo: How to Simulate Your Way to Better Machine Learning Models | by Sydney Nye | Aug, 2023
In the Monte Carlo method, the pi estimate is based on the proportion of “darts” that land inside the circle
Is Decision Science Quietly Becoming the New Data Science? | by Matt Chapman | Aug, 2023
Many of the world’s top companies have started hiring Decision Scientists. Is this the quiet beginning of a new era?
4 Use Cases & Best Practices in 2023
Capabilities to understand and generate human language give GPT technologies a potential to improve sustainability efforts and help businesses achieve
Top 8 Benefits in 2023
Lead generation is one of the six1 most important metrics for measuring the effectiveness of marketing campaigns. However, the subprocesses
Reveal True Data Dispersion with CV and QCD
STATISTICS A guide to computing and interpreting Coefficient of Variation and Quantile Coefficient of Dispersion Image generated by Author using
- August 1, 2023
4 Crucial Factors for Evaluating Large Language Models in Industry Applications | by Skanda Vivek | Aug, 2023
Over the past few months, I’ve had the opportunity to chat with folks from the legal, healthcare, finance, tech, insurance
Dirichlet Distribution: The Underlying Intuition and Python Implementation | by Reza Bagheri | Aug, 2023
Everything you need to know about the Dirichlet distribution Image source: https://pixabay.com/vectors/cubes-dice-platonic-solids-numbers-160400/ The Dirichlet distribution is a generalization of the