<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" 
    xmlns:atom="http://www.w3.org/2005/Atom" 
    xmlns:media="http://search.yahoo.com/mrss/"
    xmlns:dc="http://purl.org/dc/elements/1.1/">
    <channel>
        <title>MachineLearningMastery.com</title>
        <link>https://machinelearningmastery.com/</link>
        <description>Making developers awesome at machine learning</description>
        <atom:link href="https://machinelearningmastery.com/feed/" rel="self" type="application/rss+xml" />
            	<item>
                	<title>Speculative Decoding Explained: How to Get 3× Faster Inference from Any LLM</title>
               		<description><![CDATA[In this article, you will learn how speculative decoding works, why it produces real speed gains at the hardware level, and what modern implementations look...]]></description>
                	<link>https://machinelearningmastery.com/speculative-decoding-explained-how-to-get-3x-faster-inference-from-any-llm/</link>
                	<guid isPermaLink="false">https://machinelearningmastery.com/?p=25359</guid>
                	<pubDate>Fri, 23 Oct 2026 11:00:00 +0000</pubDate>
                	<dc:creator><![CDATA[Vinod Chugani]]></dc:creator>
                	<media:content url="https://machinelearningmastery.com/wp-content/uploads/2026/09/mlm-chugani-speculative-decoding-3x-faster-inference-llm-feature.png" medium="image" />
		</item>
            	<item>
                	<title>How to Build a Multi-Modal RAG Pipeline for Images and Documents in Python</title>
               		<description><![CDATA[In this article, you will learn how to build a multi-modal RAG pipeline in Python that retrieves and reasons over both text and images extracted...]]></description>
                	<link>https://machinelearningmastery.com/how-to-build-a-multi-modal-rag-pipeline-for-images-and-documents-in-python/</link>
                	<guid isPermaLink="false">https://machinelearningmastery.com/?p=25407</guid>
                	<pubDate>Wed, 21 Oct 2026 11:00:00 +0000</pubDate>
                	<dc:creator><![CDATA[Vinod Chugani]]></dc:creator>
                	<media:content url="https://machinelearningmastery.com/wp-content/uploads/2026/09/mlm-chugani-multi-modal-rag-pipeline-images-documents-python-feature.png" medium="image" />
		</item>
            	<item>
                	<title>pgvector vs. Dedicated Vector Databases: A Production Benchmark</title>
               		<description><![CDATA[Run this on a typical laptop and both systems will report latencies in the low single-digit to tens of milliseconds range, with the exact numbers depending heavily on your CPU, available RAM, and whatever else is running on your machine at the time.]]></description>
                	<link>https://machinelearningmastery.com/pgvector-vs-dedicated-vector-databases-a-production-benchmark/</link>
                	<guid isPermaLink="false">https://machinelearningmastery.com/?p=25330</guid>
                	<pubDate>Tue, 20 Oct 2026 11:00:00 +0000</pubDate>
                	<dc:creator><![CDATA[Shittu Olumide]]></dc:creator>
                	<media:content url="https://machinelearningmastery.com/wp-content/uploads/2026/09/MLM-Shittu-pgvector-vs.-Dedicated-Vector-Databases-A-Production-Benchmark-scaled.png" medium="image" />
		</item>
            	<item>
                	<title>Descriptors and Controlled Attributes in Python</title>
               		<description><![CDATA[In this article, you will learn what Python descriptors are and how to use them to build three types of controlled attributes: validated, computed, and...]]></description>
                	<link>https://machinelearningmastery.com/descriptors-and-controlled-attributes/</link>
                	<guid isPermaLink="false">https://machinelearningmastery.com/?p=25387</guid>
                	<pubDate>Mon, 19 Oct 2026 11:00:15 +0000</pubDate>
                	<dc:creator><![CDATA[Iván Palomares Carrascosa]]></dc:creator>
                	<media:content url="https://machinelearningmastery.com/wp-content/uploads/2026/10/mlm-descriptors-and-controlled-attributes-feeature.png" medium="image" />
		</item>
            	<item>
                	<title>Iterators and Generators for Memory-Efficient Processing</title>
               		<description><![CDATA[Laziness is not a religion.]]></description>
                	<link>https://machinelearningmastery.com/iterators-and-generators-for-memory-efficient-processing/</link>
                	<guid isPermaLink="false">https://machinelearningmastery.com/?p=25580</guid>
                	<pubDate>Fri, 16 Oct 2026 11:00:00 +0000</pubDate>
                	<dc:creator><![CDATA[Nahla Davies]]></dc:creator>
                	<media:content url="https://machinelearningmastery.com/wp-content/uploads/2026/10/mlm-iterators-and-generators-for-memory-efficient-processing-feature.png" medium="image" />
		</item>
            	<item>
                	<title>Choosing a Chunking Strategy for Your LLM Apps: A Decision-Tree Approach</title>
               		<description><![CDATA[In this article, you will learn how to choose the right chunking strategy for a retrieval-augmented generation system by working through a structured decision tree...]]></description>
                	<link>https://machinelearningmastery.com/choosing-a-chunking-strategy-for-your-llm-apps-a-decision-tree-approach/</link>
                	<guid isPermaLink="false">https://machinelearningmastery.com/?p=25041</guid>
                	<pubDate>Thu, 15 Oct 2026 11:00:00 +0000</pubDate>
                	<dc:creator><![CDATA[Bala Priya C]]></dc:creator>
                	<media:content url="https://machinelearningmastery.com/wp-content/uploads/2026/08/mlm-chunking-strategy-selection-cover.png" medium="image" />
		</item>
            	<item>
                	<title>Building a Custom LLM Evaluation Harness in Python from Scratch</title>
               		<description><![CDATA[In this article, you will learn how to build a custom LLM evaluation harness in Python from scratch, structured around four modular components that give...]]></description>
                	<link>https://machinelearningmastery.com/building-a-custom-llm-evaluation-harness-in-python-from-scratch/</link>
                	<guid isPermaLink="false">https://machinelearningmastery.com/?p=25382</guid>
                	<pubDate>Wed, 14 Oct 2026 11:00:00 +0000</pubDate>
                	<dc:creator><![CDATA[Vinod Chugani]]></dc:creator>
                	<media:content url="https://machinelearningmastery.com/wp-content/uploads/2026/09/mlm-chugani-custom-llm-evaluation-harness-python-scratch-feature.png" medium="image" />
		</item>
            	<item>
                	<title>Building a RAG Pipeline with LLM Embeddings and Scikit-learn</title>
               		<description><![CDATA[In this article, you will learn how to build a lightweight, end-to-end RAG pipeline using scikit-learn for vector retrieval and open-source models for embeddings and...]]></description>
                	<link>https://machinelearningmastery.com/building-a-rag-pipeline-with-llm-embeddings-and-scikit-learn/</link>
                	<guid isPermaLink="false">https://machinelearningmastery.com/?p=25153</guid>
                	<pubDate>Tue, 13 Oct 2026 11:00:00 +0000</pubDate>
                	<dc:creator><![CDATA[Iván Palomares Carrascosa]]></dc:creator>
                	<media:content url="https://machinelearningmastery.com/wp-content/uploads/2026/10/mlm-building-a-rag-pipeline-with-llm-embeddings-and-scikit-learn-feature.png" medium="image" />
		</item>
            	<item>
                	<title>AI Agent Benchmarks Explained: SWE-Bench, GAIA, WebArena, and More</title>
               		<description><![CDATA[In this article, you will learn what the major AI agent benchmarks measure, how they differ from traditional model benchmarks, and how to use them...]]></description>
                	<link>https://machinelearningmastery.com/ai-agent-benchmarks-explained-swe-bench-gaia-webarena-and-more/</link>
                	<guid isPermaLink="false">https://machinelearningmastery.com/?p=25006</guid>
                	<pubDate>Mon, 12 Oct 2026 11:00:00 +0000</pubDate>
                	<dc:creator><![CDATA[Vinod Chugani]]></dc:creator>
                	<media:content url="https://machinelearningmastery.com/wp-content/uploads/2026/08/mlm-chugani-ai-agent-benchmarks-swe-bench-gaia-webarena-feature.png" medium="image" />
		</item>
            	<item>
                	<title>How to Fine-Tune Llama 3 for Custom Tool Calling with Unsloth in Python</title>
               		<description><![CDATA[Llama 3 is a capable generalist, but that's exactly the problem when you need an agent that reliably outputs structured JSON for a specific API.]]></description>
                	<link>https://machinelearningmastery.com/how-to-fine-tune-llama-3-for-custom-tool-calling-with-unsloth-in-python/</link>
                	<guid isPermaLink="false">https://machinelearningmastery.com/?p=25393</guid>
                	<pubDate>Fri, 09 Oct 2026 11:00:00 +0000</pubDate>
                	<dc:creator><![CDATA[Vinod Chugani]]></dc:creator>
                	<media:content url="https://machinelearningmastery.com/wp-content/uploads/2026/09/mlm-chugani-fine-tune-llama-3-custom-tool-calling-unsloth-python-feature.png" medium="image" />
		</item>
        </channel>
</rss>