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1- Data Science
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4- Artificial Intelligence
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πŸ“Œ A Brief History of GPT Through Papers

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-08-27 | ⏱️ Read time: 16 min read

Language models are becoming really good. But where did they come from?
πŸ“Œ The Math You Need to Pan and Tilt 360Β° Images

πŸ—‚ Category: MATH

πŸ•’ Date: 2025-08-27 | ⏱️ Read time: 12 min read

Panning a spherical image is just a horizontal roll, but tilting it vertically is much…
πŸ“Œ How to Develop Powerful Internal LLM Benchmarks

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-08-26 | ⏱️ Read time: 7 min read

Learn how to compare LLMs using your own interal benchmark
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πŸ“Œ Plato’s Cave and the Shadows of Data

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-26 | ⏱️ Read time: 4 min read

On truth, illusion, and the limits of what data can reveal
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πŸ“Œ Using Google’s LangExtract and Gemma for Structured Data Extraction

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-26 | ⏱️ Read time: 9 min read

Extracting structured information effectively and accurately from long unstructured text with LangExtract and LLMs
πŸ“Œ Google’s URL Context Grounding: Another Nail in RAG’s Coffin?

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ 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…
πŸ“Œ LLM Monitoring and Observability: Hands-on with Langfuse

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-08-25 | ⏱️ Read time: 22 min read

Learn the fundamentals of LLM monitoring and observability, from tracing to evaluation and setting up…
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πŸ“Œ Why Your Prompts Don’t Belong in Git

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-08-25 | ⏱️ Read time: 5 min read

The hidden cost of storing prompts in your source code
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πŸ“Œ How to Benchmark Classical Machine Learning Workloads on Google Cloud

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-08-25 | ⏱️ Read time: 8 min read

Harnessing CPUs for Practical, Cost-Effective Machine Learning
πŸ“Œ Why Science Must Embrace Co-Creation with Generative AI to Break Current Research Barriers

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-08-25 | ⏱️ Read time: 24 min read

An Open Letter to the Scientific Community
πŸ“Œ Systematic LLM Prompt Engineering Using DSPy Optimization

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-08-25 | ⏱️ Read time: 27 min read

This article is a journey into the fascinating and rapidly evolving science of LLM prompt…
πŸ“Œ Is Google’s Reveal of Gemini’s Impact Progress or Greenwashing?

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ 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…
πŸ“Œ Three Essential Hyperparameter Tuning Techniques for Better Machine Learning Models

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-08-22 | ⏱️ Read time: 7 min read

Learn how to optimize your ML models for better results
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πŸ“Œ Cracking the Density Code: Why MAF Flows Where KDE Stalls

πŸ—‚ Category: STATISTICS

πŸ•’ Date: 2025-08-22 | ⏱️ Read time: 12 min read

Learn why autoregressive flows are the superior density estimation tool for high-dimensional data
πŸ“Œ How to Perform Comprehensive Large Scale LLM Validation

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-08-21 | ⏱️ Read time: 9 min read

Learn how to validate large scale LLM applications
πŸ“Œ What If I Had AI in 2020: Rent The Runway Dynamic Pricing Model

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-08-21 | ⏱️ Read time: 7 min read

Ever wondered how different things might have been if ChatGPT had existed at the start…
πŸ“Œ Where Hurricanes Hit Hardest: A County-Level Analysis with Python

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-21 | ⏱️ Read time: 15 min read

Use Python, GeoPandas, Tropycal, and Plotly Express to map the number of hurricane encounters per…
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πŸ“Œ Designing Trustworthy ML Models: Alan & Aida Discover Monotonicity in Machine Learning

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ 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.
πŸ“Œ From LangExtract to LangGraph: LLM Optimization, Explained

πŸ—‚ Category: THE VARIABLE

πŸ•’ Date: 2025-08-21 | ⏱️ Read time: 3 min read

Cutting-edge workflows, new libraries, and more
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πŸ“Œ Everything You Need to Know About the New Power BI Storage Mode

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-20 | ⏱️ Read time: 18 min read

50 Shades of Direct Lake