📌 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

📌 The MCP Security Survival Guide: Best Practices, Pitfalls, and Real-World Lessons

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-08-06 | ⏱️ Read time: 30 min read

Unless you’re someone who lives and breathes cybersecurity, chances are you didn’t think much about…

📌 How I Won the “Mostly AI” Synthetic Data Challenge

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-08-06 | ⏱️ Read time: 8 min read

A deep dive into how post-processing can supercharge synthetic data generation

📌 The Machine, the Expert, and the Common Folks

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-06 | ⏱️ Read time: 15 min read

A look at noise, consistency and broken legs

📌 InfiniBand vs RoCEv2: Choosing the Right Network for Large-Scale AI

🗂 Category: LARGE DATA MODELS

🕒 Date: 2025-08-06 | ⏱️ Read time: 8 min read

Learn how InfiniBand and RoCEv2 enable high-speed GPU communication

📌 Context Engineering — A Comprehensive Hands-On Tutorial with DSPy

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-08-05 | ⏱️ Read time: 18 min read

Let’s dissect the art and science of context engineering, one module at a time!

📌 Things I Wish I Had Known Before Starting ML

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-08-05 | ⏱️ Read time: 6 min read

Part 2: Guardrails, research code, reading

📌 How a Research Lab Made Entirely of LLM Agents Developed Molecules That Can Block a Virus

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-08-05 | ⏱️ Read time: 10 min read

Welcome to the 21st century by the hand of large language models and reasoning AI…

📌 Stellar Flare Detection and Prediction Using Clustering and Machine Learning

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-08-05 | ⏱️ Read time: 11 min read

Combining unsupervised clustering with supervised learning to detect and predict stellar flares

📌 Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 3)

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-05 | ⏱️ Read time: 17 min read

Let’s observe the matter on the atomic level

📌 Mechanistic View of Transformers: Patterns, Messages, Residual Stream… and LSTMs

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-08-05 | ⏱️ Read time: 7 min read

What happens when you stop concatenating and start decomposing: a new way to think about…

📌 From Data Scientist IC to Manager: One Year In

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-04 | ⏱️ Read time: 9 min read

Three pillars that shaped my first year in data science management - prioritization, empowerment, and recognition

📌 Introducing Server-Sent Events in Python

🗂 Category: PROGRAMMING

🕒 Date: 2025-08-04 | ⏱️ Read time: 13 min read

A simpler path to coding real-time web applications.

📌 On Adding a Start Value to a Waterfall Chart in Power BI

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-04 | ⏱️ Read time: 6 min read

A waterfall chart can be a powerful tool for conveying information. But it has some…

📌 Hands-On with Agents SDK: Multi-Agent Collaboration

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-08-04 | ⏱️ Read time: 31 min read

Explore the handoff and agents-as-tools patterns, their use cases, and how to customize them using…

📌 Does the Code Work or Not?

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-04 | ⏱️ Read time: 7 min read

A common misconception about the working state of code in data, AI or software engineering…

📌 Mastering NLP with spaCy – Part 2

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-08-01 | ⏱️ Read time: 7 min read

POS tagging, dependency parser and named entity recognition.

📌 How Computers “See” Molecules

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-01 | ⏱️ Read time: 29 min read

Generative Molecular Design (Part 1): common molecular representations in data science.

📌 “I think of analysts as data wizards who help their product teams solve problems”

🗂 Category: AUTHOR SPOTLIGHTS

🕒 Date: 2025-08-01 | ⏱️ Read time: 10 min read

Mariya Mansurova explains how hands-on learning, agentic AI, and engineering habits shape her writing and…

📌 When Models Stop Listening: How Feature Collapse Quietly Erodes Machine Learning Systems

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-08-01 | ⏱️ Read time: 9 min read

Models don’t just fail with noise; they fail in silence, by narrowing their attention to…