Language Models and Spatial Reasoning: What's Good, What Is Still Terrible, and What Is Improv
A review of capabilities as of July 2024- 29387Murphy2025-03-22
Heat Diffusion in a Thin Metal Rod
What would happen if you heated a small section of an insulated metal rod and left it alone for a while? Our daily experience of heat diffusion allows us to predict that the temperature will smooth out until it becomes uniform. In a scenario of perfect in- 23238Murphy2025-03-22
t-Test : From Application to Theory
An overview of the statistical tools, the motivation behind using these tools, and an explanation of the results and their interpretation- 21292Murphy2025-03-22
How to Test Machine Learning Systems
From Concepts to Practical Code Snippets for Effective Testing- 22253Murphy2025-03-22
EDA for Word Embeddings
Data scientists use EDA for everything. Why not word embeddings?- 28701Murphy2025-03-22
The Ultimate Handbook for LLM Quantization
A deep dive into LLM quantization and techniques- 28088Murphy2025-03-22
Gower's Distance for Mixed Categorical and Numerical Data
A distance measure for mixed data that can be used for clustering- 25022Murphy2025-03-22
Towards Monosemanticity: A Step Towards Understanding Large Language Models
Understanding the mechanistic interpretability research problem and reverse-engineering these large language models- 22303Murphy2025-03-22
Exploring Medusa and Multi-Token Prediction
This blog post will go into detail on the "MEDUSA: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads" paper- 27705Murphy2025-03-22
Prompt Engineering for Cognitive Flexibility
Practical insights and analysis from experiments with MMLU-Pro- 26349Murphy2025-03-22
Lessons Learned as a Data Science Manager and Why I'm Moving Back to an Individual Contributor
The three questions I asked myself that helped me pick my career path- 27833Murphy2025-03-22
A Practical Framework for Search Evaluation
A Data-Driven Approach to Elevating User Experience and Business Performance with Search- 23573Murphy2025-03-22
How to Deliver Successful Data Science Consulting Projects
Key recommendations for how to succeed with data science consulting projects and build lasting client relationships- 22869Murphy2025-03-22
How to Solve an Asset Storage Problem with Mathematical Programming
Solving a two-dimensional assortment problem with Python and Gurobipy- 20648Murphy2025-03-22
What's New in Computer Vision and Object Detection?
Our weekly selection of must-read Editors' Picks and original features- 20422Murphy2025-03-22
Make Metrics Matter
How data professionals can increase the impact of their strongest asset- 20340Murphy2025-03-22
Why It Feels Impossible to Get a Data Science Job
Reasons why the market is tough and what you can do about it- 23769Murphy2025-03-22
A Sanity Check on ‘Emergent Properties' in Large Language Models
LLMs are often said to have 'emergent properties'. But what do we even mean by that, and what's the hard evidence?- 21454Murphy2025-03-22
Multi-Headed Self Attention – By Hand
Hand computing the cornerstone of modern AI.- 25804Murphy2025-03-22
Your 15-Minute Guide on Using Causal Inference in Business (with Placebo Tests)
"Correlation does not mean causation." So let's calculate causation.- 22706Murphy2025-03-22
Genius Cliques: Mapping out the Nobel Network
Combining Network Science, Data Visualization, and Wikipedia to uncover hidden connections between all the Nobel laureates.
Data Science Expertise Comes in Many Shapes and Forms
Our weekly selection of must-read Editors' Picks and original features