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Towards Data Science
Jul 21, 2026
How Much of a Data Science Workflow Can Run on a GPU Today? Part 1: Accelerating Data Preparation
Exploring GPU acceleration with cuDF, cudf.pandas, and the Polars GPU Engine
The post How Much of a Data Science Workflo…
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Towards Data Science
Jul 24, 2026
Context Windows Forget What Matters — I Built a Usage-Reinforced Decay Engine for AI Agent Memory
Most AI memory systems keep the newest information—not the most important. Here's how I used the Ebbinghaus forgetting c…
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Towards Data Science
Jul 22, 2026
Loop Engineering for RAG Generation: Iterate top-k One at a Time
Enterprise Document Intelligence [Vol.1 #8bis] - Two regimes for sending retrieved candidates to the generation brick, t…
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ML Mastery
Jul 16, 2026
Run a Local AI Model with Ollama in 15 Minutes
In this article, you will learn how to get a small language model running locally on your own machine in under 15 minute…
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Towards Data Science
Jul 21, 2026
I Tried Fine-Tuning a Robot AI Model on Colab. Here Is What Worked
A reproducible 100-step LoRA fine-tuning run for OpenVLA, with dataset checks, Colab setup, training metrics, and W&B ev…
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Towards Data Science
Jul 25, 2026
The Fluid Simulator That Doesn’t Solve the Fluid Equations
I generated a Kármán vortex street without solving a single fluid equation. Here's how the Lattice Boltzmann Method gets…
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Towards Data Science
Jul 23, 2026
Lessons Learned After 8.5 Years of ML
Patience, Optimism, Discipline, Projects, Teams
The post Lessons Learned After 8.5 Years of ML appeared first on Towards…
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ML Mastery
Jul 15, 2026
Scikit-Ollama for Scikit-LLM/Ollama Integration
In this article, you will learn how scikit-ollama bridges the scikit-learn interface with locally running Ollama models …
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