Language Models and Spatial Reasoning: What's Good, What Is Still Terrible, and What Is Improv
A review of capabilities as of July 2024- 29345Murphy2025-03-22
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- 23196Murphy2025-03-22
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- 21250Murphy2025-03-22
How to Test Machine Learning Systems
From Concepts to Practical Code Snippets for Effective Testing- 22213Murphy2025-03-22
EDA for Word Embeddings
Data scientists use EDA for everything. Why not word embeddings?- 28660Murphy2025-03-22
The Ultimate Handbook for LLM Quantization
A deep dive into LLM quantization and techniques- 28047Murphy2025-03-22
Gower's Distance for Mixed Categorical and Numerical Data
A distance measure for mixed data that can be used for clustering- 24981Murphy2025-03-22
Towards Monosemanticity: A Step Towards Understanding Large Language Models
Understanding the mechanistic interpretability research problem and reverse-engineering these large language models- 22263Murphy2025-03-22
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- 27665Murphy2025-03-22
Prompt Engineering for Cognitive Flexibility
Practical insights and analysis from experiments with MMLU-Pro- 26308Murphy2025-03-22
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- 27793Murphy2025-03-22
A Practical Framework for Search Evaluation
A Data-Driven Approach to Elevating User Experience and Business Performance with Search- 23532Murphy2025-03-22
How to Deliver Successful Data Science Consulting Projects
Key recommendations for how to succeed with data science consulting projects and build lasting client relationships- 22828Murphy2025-03-22
How to Solve an Asset Storage Problem with Mathematical Programming
Solving a two-dimensional assortment problem with Python and Gurobipy- 20606Murphy2025-03-22
What's New in Computer Vision and Object Detection?
Our weekly selection of must-read Editors' Picks and original features- 20382Murphy2025-03-22
Make Metrics Matter
How data professionals can increase the impact of their strongest asset- 20300Murphy2025-03-22
Why It Feels Impossible to Get a Data Science Job
Reasons why the market is tough and what you can do about it- 23728Murphy2025-03-22
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?- 21415Murphy2025-03-22
Multi-Headed Self Attention – By Hand
Hand computing the cornerstone of modern AI.- 25765Murphy2025-03-22
Your 15-Minute Guide on Using Causal Inference in Business (with Placebo Tests)
"Correlation does not mean causation." So let's calculate causation.- 22666Murphy2025-03-22
The current state of continual learning in AI
Why is ChatGPT only trained up until 2021?
Optimizing Pandas Code: The Impact of Operation Sequence
Learn how to rearrange your code to achieve significant speed improvements.