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    <description>Technical notes on applied AI, production systems, and research readings.</description>
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      <title>The Failure of Legacy Evaluation in AI</title>
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      <pubDate>Mon, 24 Nov 2025 00:00:00 +0000</pubDate>
      <description>Metrics created for one generation of NLP technology become dangerously inadequate for the next. A pattern, with examples.</description>
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      <title>POML: A Guide to Structuring Prompts and Improving AI Interaction</title>
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      <pubDate>Tue, 02 Sep 2025 00:00:00 +0000</pubDate>
      <description>POML Prompt Guide: structuring and interacting with AI via HTML and XML.</description>
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      <title>Context Engineering: what really improves the performance of LLMs</title>
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      <pubDate>Thu, 24 Jul 2025 00:00:00 +0000</pubDate>
      <description>Context engineering as a discipline that precedes prompt engineering. Where the actual gains hide.</description>
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      <title>How to Build a RAG That Processes PDFs and Answers Questions in Real Time by Voice</title>
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      <pubDate>Mon, 16 Jun 2025 00:00:00 +0000</pubDate>
      <description>RAG Voice Assistant is a system that combines RAG with voice processing capabilities to create a new way of interacting with documents.</description>
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      <title>Transform Your Productivity with 3 AI-Powered Tools</title>
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      <pubDate>Thu, 12 Jun 2025 00:00:00 +0000</pubDate>
      <description>How to use AI applications for software developers, AI engineers, software engineers such as Cursor, Arc Browser and Warp</description>
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      <title>Mastering the GPT API: 5 Essential Frameworks for High-Performance Prompts</title>
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      <pubDate>Wed, 11 Jun 2025 00:00:00 +0000</pubDate>
      <description>How to master OpenAI&#x27;s GPT API through prompt engineering: five practical frameworks with Python examples.</description>
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      <title>Mastering RAG: From Fundamentals to RAGFlow</title>
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      <pubDate>Mon, 03 Mar 2025 00:00:00 +0000</pubDate>
      <description>A deep technical look at RAG architecture, its operational challenges, and how RAGFlow sets the standard for enterprise-scale implementation.</description>
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