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Towards Data Science
Sep 23, 2026
From Words to Vectors: What Happens in Between?
A Journey through TF-IDF, vector space, and text classification
The post From Words to Vectors: What Happens in Between?…
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KDnuggets
Sep 24, 2026
MCP Explained in 5 Minutes
A visual guide to MCP that explains how it works, how to use it with Claude Code, Tavily, GitHub, and Playwright, and wh…
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KDnuggets
Sep 22, 2026
7 Open-Source Alternatives to ChatGPT You Can Run Locally
Explore seven open-source ChatGPT alternatives, from lightweight local chat interfaces and document assistants to agent …
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ML Mastery
Sep 25, 2026
Tool Calling vs. Code Execution for AI Agents: Choosing the Right Action Primitive
Theory is easier to trust once it's running against a real API, so both examples in this article use the same tool — a g…
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Towards Data Science
Sep 24, 2026
When the Correct Answer Is Nothing, What Does Your Pipeline Return?
The reliability mechanisms we add to LLM pipelines are often the ones that make them confidently wrong.
The post When th…
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Towards Data Science
Sep 23, 2026
How to Make Your First World Model from Scratch
A beginner-friendly guide to building a world model in Python, letting it daydream its way through CartPole, and accurat…
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ML Mastery
Sep 15, 2026
Treating Prompt Templates as Hyperparameters in Scikit-LLM GridSearchCV
In this article, you will learn how to treat prompt templates as tunable hyperparameters for a language model, using sci…
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KDnuggets
Sep 25, 2026
7 Advanced Python Tricks to Level Up Your Coding Skills
Leveling up rarely means new syntax. It means learning what the language already promised you.…
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