An Introduction to Bayesian A/B Testing
Gain better insights from your data- 28024Murphy2025-03-23
Forever Learning: Why AI Struggles with Adapting to New Challenges
Understanding the limits of deep learning and the quest for true continual adaptation- 25911Murphy2025-03-23
How to Create a Custom Matplotlib Theme and Make Your Charts Go from Boring to Amazing
The best part? You'll only have to do this once.- 22625Murphy2025-03-23
Building a Multilingual Multi-Agent Chat Application Using LangGraph – Part I
In this 3-part series, learn how to build a RAG-based, multilingual, agentic chat application to streamline tasks at workplaces- 29489Murphy2025-03-23
Reasoning as the Engine Driving Legal Arguments
Statements of reasoning indicate types of argument- 28247Murphy2025-03-23
From Theory to Practice with Particle Swarm Optimization, Using Python
Here's a tutorial on what PSO is and how to use it- 24597Murphy2025-03-23
A Guide to Clustering Algorithms
An overview of clustering and the different families of clustering algorithms.- 24262Murphy2025-03-23
The Evolution of Llama: From Llama 1 to Llama 3.1
A Comprehensive Guide to the Advancements and Innovations in the Family of Llama Models from Meta AI- 21972Murphy2025-03-23
The Price of Gold: Is Olympic Success Reserved for the Wealthy?
Analyzing 30 years of Olympic Games medals distribution and national wealth indicators- 25270Murphy2025-03-23
Reducing the Size of AI Models
This introductory article gives an overview of different approaches to reduce model size. It introduces quantization as the most...- 24268Murphy2025-03-23
Scaling Numerical Data, Explained: A Visual Guide with Code Examples for Beginners
Transforming adult-sized data for child-like models- 25514Murphy2025-03-23
Automating Research Workflows with LLMs
Augmenting researchers with atomic usage of AI- 26445Murphy2025-03-23
All You Need Is Statistics to Analyze Tabular Datasets
To analyze tabular data sets there is no need for deep learning nor large language models- 29206Murphy2025-03-23
Introducing NumPy, Part 1: Understanding Arrays
Creating, describing, and accessing attributes- 28983Murphy2025-03-23
An Intuitive Introduction to Reinforcement Learning, Part I
Exploring popular reinforcement learning environments, in a beginner-friendly way- 22127Murphy2025-03-23
Quantizing the Weights of AI Models
Reducing high-precision floating-point weights to low-precision integer weights- 22076Murphy2025-03-23
Calculating Contact
A Data-Driven Look at Alien Civilizations (Part 1 of the Drake Equation Series)- 27763Murphy2025-03-23
How Tiny Neural Networks Represent Basic Functions
A gentle introduction to mechanistic interpretability through simple algorithmic examples- 25824Murphy2025-03-23
Quantizing Neural Network Models
Understanding post-training quantization, quantization-aware training, and the straight through estimator- 27705Murphy2025-03-23
Benchmarking Hallucination Detection Methods in RAG
Evaluating methods to enhance reliability in LLM-generated responses.- 22993Murphy2025-03-23
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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