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                	<title>Adding Temporal Reasoning to Graph-RAG: Tracking Fact Freshness and Staleness</title>
               		<description><![CDATA[In this article, you will learn how to add a lightweight temporal reasoning layer to a Graph-RAG system so that it can distinguish fresh facts...]]></description>
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                	<pubDate>Thu, 01 Oct 2026 12:00:00 +0000</pubDate>
                	<dc:creator><![CDATA[Iván Palomares Carrascosa]]></dc:creator>
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                	<title>AI Agent Observability: Logging, Tracing, and Debugging Explained</title>
               		<description><![CDATA[Chain Visualization: Reading the Trace Waterfall The spans from the last section don't mean much as a raw list.]]></description>
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                	<pubDate>Thu, 01 Oct 2026 12:00:00 +0000</pubDate>
                	<dc:creator><![CDATA[Shittu Olumide]]></dc:creator>
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                	<title>Automating Knowledge Graph Population: Extracting Entities and Triples from Unstructured Text with an LLM</title>
               		<description><![CDATA[In this article, you will learn how to automatically extract structured knowledge from raw text and populate a knowledge graph with SPOC quads using a...]]></description>
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                	<pubDate>Tue, 29 Sep 2026 12:00:20 +0000</pubDate>
                	<dc:creator><![CDATA[Iván Palomares Carrascosa]]></dc:creator>
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                	<title>Local Agentic AI Workflows with Hermes + Ollama</title>
               		<description><![CDATA[In this article, you will learn how to build a fully local, zero-cost agentic AI workflow using Hermes Agent and Ollama, so that your files,...]]></description>
                	<link>https://machinelearningmastery.com/local-agentic-ai-workflows-with-hermes-ollama/</link>
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                	<pubDate>Mon, 28 Sep 2026 12:00:25 +0000</pubDate>
                	<dc:creator><![CDATA[Shittu Olumide]]></dc:creator>
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                	<title>Tool Calling vs. Code Execution for AI Agents: Choosing the Right Action Primitive</title>
               		<description><![CDATA[Theory is easier to trust once it's running against a real API, so both examples in this article use the same tool — a get_weather function backed by <a href="https://open-meteo.]]></description>
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                	<pubDate>Fri, 25 Sep 2026 12:00:37 +0000</pubDate>
                	<dc:creator><![CDATA[Shittu Olumide]]></dc:creator>
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                	<title>Agent or Workflow? A Practical Test for Knowing When You Actually Need an AI Agent</title>
               		<description><![CDATA[In this article, you will learn the key differences between AI workflows and agents, and how to decide which approach is right for your use...]]></description>
                	<link>https://machinelearningmastery.com/agent-or-workflow-a-practical-test-for-knowing-when-you-actually-need-an-ai-agent/</link>
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                	<pubDate>Thu, 24 Sep 2026 12:00:02 +0000</pubDate>
                	<dc:creator><![CDATA[Kanwal Mehreen]]></dc:creator>
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                	<title>RAG vs. Fine-Tuning for Domain Adaptation: When to Use Which</title>
               		<description><![CDATA[In this article, you will learn the mechanical difference between retrieval-augmented generation and fine-tuning, when each technique is the right tool, and how to decide...]]></description>
                	<link>https://machinelearningmastery.com/rag-vs-fine-tuning-for-domain-adaptation-when-to-use-which/</link>
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                	<pubDate>Wed, 23 Sep 2026 12:00:23 +0000</pubDate>
                	<dc:creator><![CDATA[Shittu Olumide]]></dc:creator>
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                	<title>Monitoring Embedding Drift in Production Scikit-LLM Pipelines</title>
               		<description><![CDATA[In this article, you will learn what embedding drift is, why it matters for production large language models, and how to implement two practical techniques...]]></description>
                	<link>https://machinelearningmastery.com/monitoring-embedding-drift-in-production-scikit-llm-pipelines/</link>
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                	<pubDate>Tue, 22 Sep 2026 12:00:35 +0000</pubDate>
                	<dc:creator><![CDATA[Iván Palomares Carrascosa]]></dc:creator>
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                	<title>The Roadmap to Mastering LLM Inference Optimization</title>
               		<description><![CDATA[In this article, you will learn how LLM inference optimization works and which techniques to apply to make language models faster, cheaper, and more reliable...]]></description>
                	<link>https://machinelearningmastery.com/the-roadmap-to-mastering-llm-inference-optimization/</link>
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                	<pubDate>Mon, 21 Sep 2026 12:00:43 +0000</pubDate>
                	<dc:creator><![CDATA[Bala Priya C]]></dc:creator>
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                	<title>Build And Understand a Vector Database From Scratch in 10 Easy Steps</title>
               		<description><![CDATA[In this article, you will learn how a vector database works under the hood by building one from scratch in ten incremental steps using Python...]]></description>
                	<link>https://machinelearningmastery.com/build-and-understand-a-vector-database-from-scratch-in-10-easy-steps/</link>
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                	<pubDate>Fri, 18 Sep 2026 12:00:03 +0000</pubDate>
                	<dc:creator><![CDATA[Matthew Mayo]]></dc:creator>
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