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ML Mastery
Oct 28, 2026
Fine-Tuning vs. Frozen Embeddings: When to Adapt the LLM vs. the Sklearn Head
In this article, you will learn how to compare two strategies for adapting a large language model to a specific domain: …
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ML Mastery
Oct 26, 2026
Robust Serialization with JSON and Custom Types
In this article, you will learn how to build a robust JSON serialization pipeline in Python that handles custom data typ…
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Towards Data Science
Oct 30, 2026
Your Agent’s Tools Can Make Decisions, Too
Decision models as tools: a hands-on guide
The post Your Agent’s Tools Can Make Decisions, Too appeared first on Towards…
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Towards Data Science
Oct 28, 2026
Your RAG Pipeline Is Missing a 1994 Algorithm
Embeddings know that "broken" means "defective". They may not notice that ZX-4821 is not ZX-4812.
The post Your RAG Pipe…
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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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Towards Data Science
Oct 28, 2026
Building and Visualising Kolmogorov–Arnold Networks
Exploring what happens when neural networks learn functions instead of weights.
The post Building and Visualising Kolmog…
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Towards Data Science
Oct 29, 2026
When Labels Say No, But Embeddings Say Yes
Why traditional retrieval metrics miss meaningful similarities
The post When Labels Say No, But Embeddings Say Yes appea…
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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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