📌 Time Series Forecasting Made Simple (Part 4.1): Understanding Stationarity in a Time Series

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-27 | ⏱️ Read time: 11 min read

An intuitive guide to stationarity in a time series

📌 A Brief History of GPT Through Papers

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-08-27 | ⏱️ Read time: 16 min read

Language models are becoming really good. But where did they come from?

📌 The Math You Need to Pan and Tilt 360° Images

🗂 Category: MATH

🕒 Date: 2025-08-27 | ⏱️ Read time: 12 min read

Panning a spherical image is just a horizontal roll, but tilting it vertically is much…

📌 How to Develop Powerful Internal LLM Benchmarks

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-08-26 | ⏱️ Read time: 7 min read

Learn how to compare LLMs using your own interal benchmark

📌 Plato’s Cave and the Shadows of Data

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-26 | ⏱️ Read time: 4 min read

On truth, illusion, and the limits of what data can reveal

📌 Using Google’s LangExtract and Gemma for Structured Data Extraction

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-26 | ⏱️ Read time: 9 min read

Extracting structured information effectively and accurately from long unstructured text with LangExtract and LLMs

📌 Google’s URL Context Grounding: Another Nail in RAG’s Coffin?

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-08-26 | ⏱️ Read time: 13 min read

Google’s hot streak in AI-related releases continues unabated. Just a few days ago, it released…

📌 LLM Monitoring and Observability: Hands-on with Langfuse

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-08-25 | ⏱️ Read time: 22 min read

Learn the fundamentals of LLM monitoring and observability, from tracing to evaluation and setting up…

📌 Why Your Prompts Don’t Belong in Git

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-08-25 | ⏱️ Read time: 5 min read

The hidden cost of storing prompts in your source code

📌 How to Benchmark Classical Machine Learning Workloads on Google Cloud

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-08-25 | ⏱️ Read time: 8 min read

Harnessing CPUs for Practical, Cost-Effective Machine Learning

📌 Why Science Must Embrace Co-Creation with Generative AI to Break Current Research Barriers

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-08-25 | ⏱️ Read time: 24 min read

An Open Letter to the Scientific Community

📌 Systematic LLM Prompt Engineering Using DSPy Optimization

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-08-25 | ⏱️ Read time: 27 min read

This article is a journey into the fascinating and rapidly evolving science of LLM prompt…

📌 Is Google’s Reveal of Gemini’s Impact Progress or Greenwashing?

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-08-22 | ⏱️ Read time: 6 min read

On the surface, Google’s numbers sound reassuringly small, but the more closely you look, the…

📌 Three Essential Hyperparameter Tuning Techniques for Better Machine Learning Models

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-08-22 | ⏱️ Read time: 7 min read

Learn how to optimize your ML models for better results

📌 Cracking the Density Code: Why MAF Flows Where KDE Stalls

🗂 Category: STATISTICS

🕒 Date: 2025-08-22 | ⏱️ Read time: 12 min read

Learn why autoregressive flows are the superior density estimation tool for high-dimensional data

📌 How to Perform Comprehensive Large Scale LLM Validation

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-08-21 | ⏱️ Read time: 9 min read

Learn how to validate large scale LLM applications

📌 What If I Had AI in 2020: Rent The Runway Dynamic Pricing Model

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-08-21 | ⏱️ Read time: 7 min read

Ever wondered how different things might have been if ChatGPT had existed at the start…

📌 Where Hurricanes Hit Hardest: A County-Level Analysis with Python

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-21 | ⏱️ Read time: 15 min read

Use Python, GeoPandas, Tropycal, and Plotly Express to map the number of hurricane encounters per…

📌 Designing Trustworthy ML Models: Alan & Aida Discover Monotonicity in Machine Learning

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-08-21 | ⏱️ Read time: 5 min read

Accuracy alone doesn’t guarantee trustworthiness. Monotonicity ensures predictions align with common sense and business rules.

📌 From LangExtract to LangGraph: LLM Optimization, Explained

🗂 Category: THE VARIABLE

🕒 Date: 2025-08-21 | ⏱️ Read time: 3 min read

Cutting-edge workflows, new libraries, and more

📌 Everything You Need to Know About the New Power BI Storage Mode

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-20 | ⏱️ Read time: 18 min read

50 Shades of Direct Lake