Digging into the details behind the prompting framework- 21856Murphy2025-03-22
Using well-crafted synthetic data to compare and evaluate outlier detectors- 20399Murphy2025-03-22
This article provides a step by step example of how the Hungarian algorithm solves the optimal assignment problem on a graph.- 28083Murphy2025-03-22
A guide to tracking in MLOps- 29682Murphy2025-03-22
Fundamentals of experimentation I learned from working with the best in the tech industry- 22544Murphy2025-03-22
The stories that resonated the most with our community in the past month- 22217Murphy2025-03-22
A Practical Example for Feature Engineering and Constructing an MLP Model- 24679Murphy2025-03-22
A friendly introduction to testing machine learning projects, by using standard libraries such as Pytest and Pytest-cov- 24028Murphy2025-03-22
Using PyTorch, computer vision techniques, and a CNN, I worked on a model that tracks players, teams, and basic performance statistics- 20807Murphy2025-03-22
This article discusses MusGConv, a perception-inspired graph convolution block for symbolic musical applications.- 27307Murphy2025-03-22
Explore the wisdom of LSTM leading into xLSTMs - a probable competition to the present-day LLMs- 21263Murphy2025-03-22
LLMs won't replace data scientists, but they will change how we collaborate with decision makers- 29725Murphy2025-03-22
How language models scale with model size, training data, and training compute- 24742Murphy2025-03-22
And stay competitive in a saturated job market- 23837Murphy2025-03-22
Create your customized unit registry for physical quantities in Python- 29825Murphy2025-03-22
Delta Lake Concurrency Management and its relevance- 23850Murphy2025-03-22
How to clean MapBiomas LULC rasters for any shapefile in Brazil- 20937Murphy2025-03-22
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- 28371Murphy2025-03-22
A beginner-friendly tutorial on generating your own data for analysis and testing- 20285Murphy2025-03-22
A step-by-step guide to run Llama3 locally with Python- 28252Murphy2025-03-22
Combining Network Science, Data Visualization, and Wikipedia to uncover hidden connections between all the Nobel laureates.
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