Data Science Machine Learning Data Analysis
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1- Data Science
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4- Artificial Intelligence
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πŸ“Œ Generating Structured Outputs from LLMs

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-08-08 | ⏱️ Read time: 13 min read

An overview of popular techniques to confine LLMs’ output to a predefined schema
πŸ“Œ Demystifying Cosine Similarity

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-08 | ⏱️ Read time: 8 min read

Mathematical intuition and practical considerations for NLP scenarios
πŸ“Œ Time Series Forecasting Made Simple (Part 3.2): A Deep Dive into LOESS-Based Smoothing

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-07 | ⏱️ Read time: 6 min read

Explore how STL uses LOESS smoothing to extract trend and seasonal components.
πŸ“Œ Hands-On with Agents SDK: Safeguarding Input and Output with Guardrails

πŸ—‚ Category: AGENTIC AI

πŸ•’ 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,…
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πŸ“Œ Agentic AI: On Evaluations

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-08-07 | ⏱️ Read time: 16 min read

Metrics to track for RAG and agents, plus the frameworks that help
πŸ“Œ Finding Golden Examples: A Smarter Approach to In-Context Learning

πŸ—‚ Category: LLM APPLICATIONS

πŸ•’ Date: 2025-08-07 | ⏱️ Read time: 7 min read

From random example selection to systematic AuPair generationβ€Š β€” how to make your LLM prompts actually…
πŸ“Œ The Channel-Wise Attention | Squeeze and Excitation

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2025-08-07 | ⏱️ Read time: 22 min read

Applying the Squeeze and Excitation module on ResNeXt using PyTorch
πŸ“Œ The MCP Security Survival Guide: Best Practices, Pitfalls, and Real-World Lessons

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ 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…
πŸ“Œ How I Won the β€œMostly AI” Synthetic Data Challenge

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-08-06 | ⏱️ Read time: 8 min read

A deep dive into how post-processing can supercharge synthetic data generation
πŸ“Œ The Machine, the Expert, and the Common Folks

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-06 | ⏱️ Read time: 15 min read

A look at noise, consistency and broken legs
πŸ“Œ InfiniBand vs RoCEv2: Choosing the Right Network for Large-Scale AI

πŸ—‚ Category: LARGE DATA MODELS

πŸ•’ Date: 2025-08-06 | ⏱️ Read time: 8 min read

Learn how InfiniBand and RoCEv2 enable high-speed GPU communication
πŸ“Œ Context Engineering β€” A Comprehensive Hands-On Tutorial with DSPy

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-08-05 | ⏱️ Read time: 18 min read

Let’s dissect the art and science of context engineering, one module at a time!
πŸ“Œ Things I Wish I Had Known Before Starting ML

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-08-05 | ⏱️ Read time: 6 min read

Part 2: Guardrails, research code, reading
πŸ“Œ How a Research Lab Made Entirely of LLM Agents Developed Molecules That Can Block a Virus

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-08-05 | ⏱️ Read time: 10 min read

Welcome to the 21st century by the hand of large language models and reasoning AI…
πŸ“Œ Stellar Flare Detection and Prediction Using Clustering and Machine Learning

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-08-05 | ⏱️ Read time: 11 min read

Combining unsupervised clustering with supervised learning to detect and predict stellar flares
πŸ“Œ Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 3)

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-05 | ⏱️ Read time: 17 min read

Let’s observe the matter on the atomic level
πŸ“Œ Mechanistic View of Transformers: Patterns, Messages, Residual Stream… and LSTMs

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-08-05 | ⏱️ Read time: 7 min read

What happens when you stop concatenating and start decomposing: a new way to think about…
πŸ“Œ From Data Scientist IC to Manager: One Year In

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-04 | ⏱️ Read time: 9 min read

Three pillars that shaped my first year in data science managementβ€Š-β€Šprioritization, empowerment, and recognition
πŸ“Œ Introducing Server-Sent Events in Python

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2025-08-04 | ⏱️ Read time: 13 min read

A simpler path to coding real-time web applications.
πŸ“Œ On Adding a Start Value to a Waterfall Chart in Power BI

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-04 | ⏱️ Read time: 6 min read

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