Unfolding the universe of possibilities..

Journeying through the galaxy of bits and bytes.

From GeoJSON to Network Graph: Analyzing World Country Borders in Python

Utilizing NetworkX for Graph-Based Country Border Analysis Maksim Shutov in Unsplash Python offers a wide range of libraries that allow us to easily and quickly address problems in various research areas. Geospatial data analysis and graph theory are two research areas where

Julia Magic Too Few People Know About

Some less known capabilities of the Julia programming language. Continue reading on Towards Data Science »

Vectorize and Parallelize RL Environments with JAX: Q-learning at the Speed of Light⚡

In this article, we learn to vectorize an RL environment and train 30 Q-learning agents in parallel on a CPU, at 1.8 million iterations per second. Image by Google DeepMind on Unsplash In the previous story, we introduced Temporal-Difference Learning, particularly Q-learning,

Beginner Tutorial: Connect GPT Models with Company Data in Microsoft Azure

Using OpenAI Studio, Cognitive Search and Storage Accounts Continue reading on Towards Data Science »

Democratizing AI: MosaicML’s Impact on the Open-Source LLM Movement

How high-quality base models unlock new possibilities for an entire industry… Continue reading on Towards Data Science »

Extending Context Length in Large Language Models

How to turn your Llama into a Giraffe Continue reading on Towards Data Science »

Linear Algebra 3: Vector Equations

Vector Equations and Spans Preface Welcome back to the third essay of my ongoing series on the basics of Linear Algebra, the foundational math behind machine learning. In my previous article, I walked through the echelon matrix forms. This article will