Your Company Needs Small Language Models
When specialized models outperform general-purpose models- 22298Murphy2025-03-22
Deep Dive into Multithreading, Multiprocessing, and Asyncio
How to choose the right concurrency model- 25423Murphy2025-03-22
The Key to Smarter Models: Tracking Feature Histories
Capture context and improve predictions with historical data- 25501Murphy2025-03-22
Superposition: What Makes it Difficult to Explain Neural Network
When there are more features than model dimensions- 26729Murphy2025-03-22
Linearizing Attention
Breaking the Quadratic Barrier: Modern Alternatives to Softmax Attention- 24583Murphy2025-03-22
The Math Behind In-Context Learning
From attention to gradient descent: unraveling how transformers learn from examples- 28898Murphy2025-03-22
Introducing n-Step Temporal-Difference Methods
Dissecting "Reinforcement Learning" by Richard S. Sutton with custom Python implementations, Episode V- 26523Murphy2025-03-22
I Combined the Blockchain and AI to Generate Art. Here's What Happened Next.
Using LLMs to create artistic representations of data- 29055Murphy2025-03-22
How Neural Networks Learn: A Probabilistic Viewpoint
Understanding Loss Functions in Training Neural Networks- 21796Murphy2025-03-22
Creating SMOTE Oversampling from Scratch
A Python tutorial on how to implement oversampling and how to make custom variations- 26820Murphy2025-03-22
Track Computer Vision Experiments with MLflow
Discover how to set up an efficient MLflow environment to track your experiments, compare and choose the best model for deployment- 20884Murphy2025-03-22
How to Build a Graph RAG App
The accompanying code for the app and notebook are here. Knowledge graphs (KGs) and Large Language Models (LLMs) are a match made in heaven. My previous posts discuss the complementarities of these two technologies in more detail but t- 26547Murphy2025-03-22
Top 12 Skills Data Scientists Need to Succeed in 2025
It's (not) all about LLMs and AI tools- 29569Murphy2025-03-22
How to Build a Resume Optimizer with AI
Step-by-step guide with example Python code- 23551Murphy2025-03-22
Lessons from COVID-19: Why Probability Distributions Matter
Understanding Distributions with Extremes: Probability for Data Science Series (END)- 24696Murphy2025-03-22
Multi-Agentic RAG with Hugging Face Code Agents
Using Qwen2.5-7B-Instruct powered code agents to create a local, open source, multi-agentic RAG system- 27906Murphy2025-03-22
Mastering Model Uncertainty: Thresholding Techniques in Deep Learning
A few words on thresholding, the softmax activation function, introducing an extra label, and considerations regarding output activation...- 25398Murphy2025-03-22
Understanding the Optimization Process Pipeline in Linear Programming
An introduction to the backend and frontend processes in linear programming, including the mathematical programming system (mps) files- 26858Murphy2025-03-22
Integrating Feature Selection into the Model Estimation
Combining mixture of normal regressions with in-built feature selection into powerful modeling tool- 27147Murphy2025-03-22
Chi-Squared Test: Comparing Variations Through Soccer
Understanding Different Types of Chi-Squared Tests: A/B Testing for Data Science Series (8)- 21889Murphy2025-03-22
Genius Cliques: Mapping out the Nobel Network
Combining Network Science, Data Visualization, and Wikipedia to uncover hidden connections between all the Nobel laureates.
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