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KDnuggets
Sep 17, 2026
5 Free Zoomcamps From Data Pipelines to AI Agents
Explore five free hands-on workshops covering data engineering, machine learning, MLOps, LLMs, AI agents, and AI develop…
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ML Mastery
Sep 11, 2026
Fine-Tuning Agentic AI: A Practical Guide
In this article, you will learn how to fine-tune an agentic AI system holistically, covering all four critical dials: tr…
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KDnuggets
Sep 18, 2026
5 Prompt Optimization Strategies That Actually Improve LLM Output
This article covers five prompt optimization strategies such as: prompt optimization, prompt engineering, LLM output qua…
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ML Mastery
Sep 18, 2026
Build And Understand a Vector Database From Scratch in 10 Easy Steps
In this article, you will learn how a vector database works under the hood by building one from scratch in ten increment…
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ML Mastery
Sep 9, 2026
Versioning and Tracking Scikit-LLM Experiments
In this article, you will learn how to build, track, compare, and register scikit-learn pipelines that integrate large l…
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ML Mastery
Sep 18, 2026
What’s Actually Inside 24,723 Tokens of a Search Result? We Broke It Down, Field by Field
Sponsored Content It's no secret that AI agents burn massive amounts of tokens on search results and file retrieva…
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KDnuggets
Sep 16, 2026
Estimators in Scikit-LLM: A KDnuggets Cheat Sheet
Scikit-LLM wraps language models in the scikit-learn estimator API, so it drops into a Pipeline or a cross-validation lo…
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ML Mastery
Sep 10, 2026
How to Combine Traditional Machine Learning with Agentic Reasoning
In this article, you will learn where traditional machine learning reaches its limits, what agentic reasoning adds, and …
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