Digging into the details behind the prompting framework- 21815Murphy2025-03-22
Using well-crafted synthetic data to compare and evaluate outlier detectors- 20359Murphy2025-03-22
This article provides a step by step example of how the Hungarian algorithm solves the optimal assignment problem on a graph.- 28041Murphy2025-03-22
A guide to tracking in MLOps- 29641Murphy2025-03-22
Fundamentals of experimentation I learned from working with the best in the tech industry- 22504Murphy2025-03-22
The stories that resonated the most with our community in the past month- 22176Murphy2025-03-22
A Practical Example for Feature Engineering and Constructing an MLP Model- 24637Murphy2025-03-22
A friendly introduction to testing machine learning projects, by using standard libraries such as Pytest and Pytest-cov- 23988Murphy2025-03-22
Using PyTorch, computer vision techniques, and a CNN, I worked on a model that tracks players, teams, and basic performance statistics- 20766Murphy2025-03-22
This article discusses MusGConv, a perception-inspired graph convolution block for symbolic musical applications.- 27267Murphy2025-03-22
Explore the wisdom of LSTM leading into xLSTMs - a probable competition to the present-day LLMs- 21222Murphy2025-03-22
LLMs won't replace data scientists, but they will change how we collaborate with decision makers- 29685Murphy2025-03-22
How language models scale with model size, training data, and training compute- 24702Murphy2025-03-22
And stay competitive in a saturated job market- 23795Murphy2025-03-22
Create your customized unit registry for physical quantities in Python- 29783Murphy2025-03-22
Delta Lake Concurrency Management and its relevance- 23808Murphy2025-03-22
How to clean MapBiomas LULC rasters for any shapefile in Brazil- 20897Murphy2025-03-22
In this article I would like to share my notes on how language models (LMs) have been developing during the last decades. This text may serve a a gentle introduction and help to understand the conceptual points of LMs throughout their history. It’s- 28330Murphy2025-03-22
A beginner-friendly tutorial on generating your own data for analysis and testing- 20245Murphy2025-03-22
A step-by-step guide to run Llama3 locally with Python- 28212Murphy2025-03-22
Why is ChatGPT only trained up until 2021?
Learn how to rearrange your code to achieve significant speed improvements.
