📌 Data Mesh Diaries: Realities from Early Adopters

🗂 Category: DATA ENGINEERING

🕒 Date: 2025-08-13 | ⏱️ Read time: 7 min read

Early-adopter realities gathered from real data mesh implementations

📌 Tips for Setting Expectations in AI Projects

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-08-13 | ⏱️ Read time: 8 min read

If you want your AI project to succeed, mastering expectation management comes first. When working…

📌 A Bird’s-Eye View of Linear Algebra: Why Is Matrix Multiplication Like That?

🗂 Category: MATH

🕒 Date: 2025-08-13 | ⏱️ Read time: 21 min read

Since the way we manipulate high-dimensional vectors is primarily matrix multiplication, it isn’t a stretch…

📌 Reducing Time to Value for Data Science Projects: Part 4

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-12 | ⏱️ Read time: 11 min read

Embrace your inner software developer

📌 Model Predictive Control Basics

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-12 | ⏱️ Read time: 9 min read

A hands-on tutorial with Python and CasADi

📌 Coconut: A Framework for Latent Reasoning in LLMs

🗂 Category: LARGE LANGUAGE MODELS

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

Explaining Coconut (Training Large Language Models to Reason in a Continuous Latent Space) in simple…

📌 A Refined Training Recipe for Fine-Grained Visual Classification

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-08-12 | ⏱️ Read time: 17 min read

How FGVC aims to recognize images belonging to multiple subordinate categories of a super-category

📌 Fine-Tune Your Topic Modeling Workflow with BERTopic

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-08-12 | ⏱️ Read time: 7 min read

Learn how to fine-tune BERTopic settings for more focused, reproducible, and interpretable results

📌 Estimating from No Data: Deriving a Continuous Score from Categories

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-11 | ⏱️ Read time: 13 min read

A walk-through of and the maths behind using low-capacity networks to acquire fine-grained scoring when…

📌 Introducing Google’s LangExtract tool

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-08-11 | ⏱️ Read time: 12 min read

Do RAG without doing RAG with this powerful new NLP and data extraction library

📌 From Genes to Neural Networks: Understanding and Building NEAT (Neuro-Evolution of Augmenting Topologies) from Scratch

🗂 Category: DEEP LEARNING

🕒 Date: 2025-08-11 | ⏱️ Read time: 19 min read

Practical Neuroevolution: Reproducing NEAT’s Innovations and Code Walkthrough

📌 LangGraph + SciPy: Building an AI That Reads Documentation and Makes Decisions

🗂 Category: AGENTIC AI

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

Stop guessing your statistical test. Let this AI do it for you.

📌 How to Write Insightful Technical Articles

🗂 Category: WRITING

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

Learn how to write informative technical articles

📌 Generating Structured Outputs from LLMs

🗂 Category: LARGE LANGUAGE MODELS

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

An overview of popular techniques to confine LLMs’ output to a predefined schema

📌 Demystifying Cosine Similarity

🗂 Category: DATA SCIENCE

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

Mathematical intuition and practical considerations for NLP scenarios

📌 Time Series Forecasting Made Simple (Part 3.2): A Deep Dive into LOESS-Based Smoothing

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-07 | ⏱️ Read time: 6 min read

Explore how STL uses LOESS smoothing to extract trend and seasonal components.

📌 Hands-On with Agents SDK: Safeguarding Input and Output with Guardrails

🗂 Category: AGENTIC AI

🕒 Date: 2025-09-06 | ⏱️ Read time: 18 min read

A practical exploration of how guardrails safeguard multi-agent systems in Python using OpenAI Agents SDK,…

📌 Agentic AI: On Evaluations

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-08-07 | ⏱️ Read time: 16 min read

Metrics to track for RAG and agents, plus the frameworks that help

📌 Finding Golden Examples: A Smarter Approach to In-Context Learning

🗂 Category: LLM APPLICATIONS

🕒 Date: 2025-08-07 | ⏱️ Read time: 7 min read

From random example selection to systematic AuPair generation  — how to make your LLM prompts actually…

📌 The Channel-Wise Attention | Squeeze and Excitation

🗂 Category: DEEP LEARNING

🕒 Date: 2025-08-07 | ⏱️ Read time: 22 min read

Applying the Squeeze and Excitation module on ResNeXt using PyTorch