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Towards Data Science
Oct 19, 2026
AI Harms and Their Technical Causes
How technical choices can lead to safety failures, and what to do differently
The post AI Harms and Their Technical Caus…
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Towards Data Science
Oct 16, 2026
I Reran My Python 3.14 JIT Benchmarks on Python 3.15
The same three workloads show a much stronger JIT, but it still doesn't help every program
The post I Reran My Python 3.…
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Towards Data Science
Oct 20, 2026
Synthetic-to-Real Transfer with Frozen DINOv3 Features
Training models on procedurally generated datasets for card detection and segmentation
The post Synthetic-to-Real Transf…
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ML Mastery
Oct 9, 2026
How to Fine-Tune Llama 3 for Custom Tool Calling with Unsloth in Python
Llama 3 is a capable generalist, but that's exactly the problem when you need an agent that reliably outputs structured …
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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 21, 2026
I Built a Pipeline to Track the Job Market I'm Trying to Break Into.
Building an incremental pipeline with dbt snapshots, and the API that quietly lied to me along the way.
The post I Built…
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ML Mastery
Oct 8, 2026
Evaluating Graph-RAG vs. Standard RAG: A Hallucination Benchmark on Fact-Dense Queries
In this article, you will learn how to benchmark a deterministic 3-Tiered Graph-RAG system against a standard vector RAG…
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Towards Data Science
Oct 18, 2026
Inferring the Host: A Bayesian Look at the Monty Hall Problem
"Always switch" is true for one particular host. Watch a few episodes and you can work out which host you've got.
The po…
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