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Towards Data Science
Oct 25, 2026
Data Enablement for AI: A Practitioner's Guide to 6 Advanced Architectural Patterns
Beyond naive chunk-and-embed: Six production architectures for turning enterprise lakehouses into governed AI platforms.…
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KDnuggets
Oct 28, 2026
Which Local LMs are Best For Which Tasks
A local language model is one whose actual weights, the enormous file of learned numbers that constitutes the trained mo…
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Towards Data Science
Oct 26, 2026
Claude Code vs. Cursor: What a Field Test Shows That the Feature Comparisons Miss
One benchmark says Claude Code used 33,000 tokens where Cursor used 188,000. Another says the exact reverse. Here is the…
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Towards Data Science
Oct 27, 2026
Who Watches the AI?
A separation of powers for control of autonomous agents
The post Who Watches the AI? appeared first on Towards Data Scie…
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Towards Data Science
Oct 28, 2026
Where a Cell Sits Matters More Than How Many There Are
Using spatstat raster layers and point process models to ask how neurons, astrocytes and microglia sit relative to each …
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ML Mastery
Oct 21, 2026
How to Build a Multi-Modal RAG Pipeline for Images and Documents in Python
In this article, you will learn how to build a multi-modal RAG pipeline in Python that retrieves and reasons over both t…
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Towards Data Science
Oct 25, 2026
Agentic AI in Production: Why Your Agent Keeps Answering After Its Tools Fail
When a tool breaks, an agent can keep going and write a confident answer from nothing while the dashboard stays green.
T…
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Towards Data Science
Oct 23, 2026
Don’t Let Messy Data Bend Your Curves
Robust Estimation Series: Building Accurate Curves with Polynomials and Splines With Spurious Data
The post Don’t Let Me…
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