📌 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

📌 AI Agents for Supply Chain Optimisation: Production Planning

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-08-20 | ⏱️ Read time: 9 min read

How to integrate an optimisation algorithm in a FastAPI microservice and connect it with an…

📌 Smarter Model Tuning: An AI Agent with LangGraph + Streamlit That Boosts ML Performance

🗂 Category: AGENTIC AI

🕒 Date: 2025-08-20 | ⏱️ Read time: 12 min read

Automating model tuning in Python with Gemini, LangGraph, and Streamlit for regression and classification improvements

📌 “Where’s Marta?”: How We Removed Uncertainty From AI Reasoning

🗂 Category: LLM APPLICATIONS

🕒 Date: 2025-08-20 | ⏱️ Read time: 12 min read

A primer on overcoming LLM limitations with formal verification.

📌 The Upstream Mentality: Why AI/ML Engineers Must Think Beyond the Model

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-08-20 | ⏱️ Read time: 13 min read

Your 3am production alert isn’t a model problem—it’s an upstream crisis in disguise

📌 Building a Modern Dashboard with Python and Tkinter

🗂 Category: PROGRAMMING

🕒 Date: 2025-08-19 | ⏱️ Read time: 20 min read

Create polished GUIs and data dashboards with this versatile library

📌 Mastering NLP with spaCy – Part 3

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-19 | ⏱️ Read time: 7 min read

Rule-based matching for information extraction

📌 Help Your Model Learn the True Signal

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-08-19 | ⏱️ Read time: 15 min read

An algorithm-agnostic approach inspired by Cook’s distance

📌 Capturing and Deploying PyTorch Models with torch.export

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-08-19 | ⏱️ Read time: 18 min read

A demonstration of PyTorch’s exciting new export feature on a HuggingFace model