Tools
5 Best Resources to Learn About World Models in 2026
World models are a fast-growing AI research area. These five resources take you from RL fundamentals to modern architectures like Dreamer and Genie.
Latest Articles
Machine Learning
How Many Guesses Does It Take to Crack an AI's Random Number?
Language models aren't random. This analysis uses logits to measure exactly how guessable an AI's "random" number pick really is.
Tools
Feature Election: Federated Feature Selection Without Sharing Data
Feature Election lets federated learning sites vote on which features to keep using local selectors, without sharing any raw data rows.
Data Science
Few-Shot Text Classification with Scikit-LLM
Scikit-LLM bridges LLMs and scikit-learn for few-shot text classification. Classify new text accurately with just a handful of labeled examples.
AI
ChatGPT vs. Claude vs. Gemini for Data Science Work
A hands-on comparison of ChatGPT, Claude, and Gemini across data science tasks including EDA, code generation, and statistical reasoning.
Data Science
Building a Human-in-the-Loop AI Refund Agent with LangGraph
Learn how to build a LangGraph refund agent that pauses for human approval before executing financial actions using interrupt() checkpoints.
Machine Learning
Bridging Algorithmic Design and Regulatory Standards in Enterprise AI
Enterprise AI teams face growing pressure to balance model innovation with regulatory compliance. Here's a practical framework for embedding governance into eve
Data Science
Ten GitHub Projects Built with Jev Decision Models
Jev turns agent decisions into typed outputs with probabilities. Here are ten GitHub repositories showing practical ways to build with it.
AI
Meta Muse Explained: What It Is and How It Works
Meta Muse is a personal AI agent that plans, takes actions, and works in the background to complete real-world tasks on your behalf.
Tools
How to Use Marimo for Interactive Data Analysis
Marimo is a reactive Python notebook that auto-updates cells and runs as a shareable app. Build interactive dashboards with Pandas and Altair.
AI
Automating Knowledge Graph Population with Local LLMs and SPOC Quads
Learn how to extract structured SPOC quads from raw text using a local Llama 3.2 model via Ollama and load them into a QuadStore knowledge graph.