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      <title>Rai Notes</title>
      <link>https://arai.dev</link>
      <description>Last 10 notes on Rai Notes</description>
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      <item>
    <title>AI Agents</title>
    <link>https://arai.dev/AI/AI-Agents</link>
    <guid>https://arai.dev/AI/AI-Agents</guid>
    <description><![CDATA[ Reference notes. AI agents are systems that use LLMs to autonomously plan and execute tasks. ]]></description>
    <pubDate>Sat, 23 May 2026 11:24:59 GMT</pubDate>
  </item><item>
    <title>AI Safety</title>
    <link>https://arai.dev/AI/AI-Safety</link>
    <guid>https://arai.dev/AI/AI-Safety</guid>
    <description><![CDATA[ Reference notes. ]]></description>
    <pubDate>Sat, 23 May 2026 11:24:59 GMT</pubDate>
  </item><item>
    <title>Embeddings</title>
    <link>https://arai.dev/AI/Embeddings</link>
    <guid>https://arai.dev/AI/Embeddings</guid>
    <description><![CDATA[ Reference notes. Embeddings are dense vector representations that capture semantic meaning. ]]></description>
    <pubDate>Sat, 23 May 2026 11:24:59 GMT</pubDate>
  </item><item>
    <title>Evaluation &amp; Benchmarking</title>
    <link>https://arai.dev/AI/Evaluation--and--Benchmarking</link>
    <guid>https://arai.dev/AI/Evaluation--and--Benchmarking</guid>
    <description><![CDATA[ Reference notes. Evaluation measures how well AI systems perform. Benchmarking compares systems against standardised tests. ]]></description>
    <pubDate>Sat, 23 May 2026 11:24:59 GMT</pubDate>
  </item><item>
    <title>Foundation Models</title>
    <link>https://arai.dev/AI/Foundation-Models</link>
    <guid>https://arai.dev/AI/Foundation-Models</guid>
    <description><![CDATA[ Reference notes. Foundation models are large AI models trained on broad data that can be adapted to many downstream tasks. ]]></description>
    <pubDate>Sat, 23 May 2026 11:24:59 GMT</pubDate>
  </item><item>
    <title>LLMs</title>
    <link>https://arai.dev/AI/LLMs</link>
    <guid>https://arai.dev/AI/LLMs</guid>
    <description><![CDATA[ Reference notes. Large Language Models (LLMs) are neural networks trained on vast text corpora to predict the next token in a sequence. ]]></description>
    <pubDate>Sat, 23 May 2026 11:24:59 GMT</pubDate>
  </item><item>
    <title>Multimodal AI</title>
    <link>https://arai.dev/AI/Multimodal-AI</link>
    <guid>https://arai.dev/AI/Multimodal-AI</guid>
    <description><![CDATA[ Reference notes. Multimodal AI systems process and generate multiple types of data — text, images, audio, video — often in combination. ]]></description>
    <pubDate>Sat, 23 May 2026 11:24:59 GMT</pubDate>
  </item><item>
    <title>Prompt Engineering</title>
    <link>https://arai.dev/AI/Prompt-Engineering</link>
    <guid>https://arai.dev/AI/Prompt-Engineering</guid>
    <description><![CDATA[ Reference notes. Prompt engineering is the practice of designing inputs to language models that elicit desired outputs. ]]></description>
    <pubDate>Sat, 23 May 2026 11:24:59 GMT</pubDate>
  </item><item>
    <title>RAG</title>
    <link>https://arai.dev/AI/RAG</link>
    <guid>https://arai.dev/AI/RAG</guid>
    <description><![CDATA[ Reference notes. Retrieval-Augmented Generation (RAG) combines the generative capabilities of LLMs with external knowledge retrieval. ]]></description>
    <pubDate>Sat, 23 May 2026 11:24:59 GMT</pubDate>
  </item><item>
    <title>PlatformIO vs ESP-IDF</title>
    <link>https://arai.dev/Embedded-Systems/PlatformIO-vs-ESP-IDF</link>
    <guid>https://arai.dev/Embedded-Systems/PlatformIO-vs-ESP-IDF</guid>
    <description><![CDATA[ Choosing the right development environment is a critical first step in any embedded systems project. ]]></description>
    <pubDate>Sat, 23 May 2026 11:24:59 GMT</pubDate>
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