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      <title>Scott&#039;s Digital Garden</title>
      <link>https://writing.scottwebdev.net</link>
      <description>Last 10 notes on Scott&#039;s Digital Garden</description>
      <generator>Quartz -- quartz.jzhao.xyz</generator>
      <item>
    <title>2026 Essex Computing events</title>
    <link>https://writing.scottwebdev.net/Computing/Events/2026-Essex-Computing-events</link>
    <guid>https://writing.scottwebdev.net/Computing/Events/2026-Essex-Computing-events</guid>
    <description><![CDATA[ Chelmsford Science Festival - ‘Future Worlds: Earth, Space and You’ Host: Anglia Ruskin University Dates: 20-28th October 2026 Event theme: ‘Future Worlds: Earth, Space and You’ Link: Info The programme of the Chelmsford Science Festival seeks to combine the passions of technology enthusiasts young ... ]]></description>
    <pubDate>Wed, 01 Apr 2026 18:49:45 GMT</pubDate>
  </item><item>
    <title>A glossary of LLM Architectures and acronyms</title>
    <link>https://writing.scottwebdev.net/Computing/Machine-Learning/A-glossary-of-LLM-Architectures-and-acronyms</link>
    <guid>https://writing.scottwebdev.net/Computing/Machine-Learning/A-glossary-of-LLM-Architectures-and-acronyms</guid>
    <description><![CDATA[ po The GLUE evaluation framework =&gt; A sort of &#039;LLM agility obstacle course&#039; (paraphrased) ‘Glue’ aliases General Language Understanding-Evaluation framework is a series of tasks to road-test LLMs on a range of use cases. ]]></description>
    <pubDate>Wed, 01 Apr 2026 18:49:45 GMT</pubDate>
  </item><item>
    <title>A.I tool stack</title>
    <link>https://writing.scottwebdev.net/Computing/Machine-Learning/A.I/A.I-tool-stack</link>
    <guid>https://writing.scottwebdev.net/Computing/Machine-Learning/A.I/A.I-tool-stack</guid>
    <description><![CDATA[  Amazon Q VSCode plugin Provides Amazon MCP Server powers (allegedly) . ]]></description>
    <pubDate>Wed, 01 Apr 2026 18:49:45 GMT</pubDate>
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    <title>Eugene Yan - LLM validation patterns</title>
    <link>https://writing.scottwebdev.net/Computing/Machine-Learning/A.I/Inherent-bias-in-LLMs/Eugene-Yan---LLM-validation-patterns</link>
    <guid>https://writing.scottwebdev.net/Computing/Machine-Learning/A.I/Inherent-bias-in-LLMs/Eugene-Yan---LLM-validation-patterns</guid>
    <description><![CDATA[ Source: eugenyan.com An A.I service/product can be comprised of multiple components such as: LLMs Prompt templates Retrieved context Paramters, i.e: Temperature 🌡️(?) 1. ]]></description>
    <pubDate>Wed, 01 Apr 2026 18:49:45 GMT</pubDate>
  </item><item>
    <title>Inherent biases in LLMs</title>
    <link>https://writing.scottwebdev.net/Computing/Machine-Learning/A.I/Inherent-bias-in-LLMs/Inherent-biases-in-LLMs</link>
    <guid>https://writing.scottwebdev.net/Computing/Machine-Learning/A.I/Inherent-bias-in-LLMs/Inherent-biases-in-LLMs</guid>
    <description><![CDATA[ 1 - Un-mitigated instance of opinionated material in LLM training data Large Language models (LLMs) are everywhere. ]]></description>
    <pubDate>Wed, 01 Apr 2026 18:49:45 GMT</pubDate>
  </item><item>
    <title>Text Embeddings</title>
    <link>https://writing.scottwebdev.net/Computing/Machine-Learning/A.I/Text-Embeddings</link>
    <guid>https://writing.scottwebdev.net/Computing/Machine-Learning/A.I/Text-Embeddings</guid>
    <description><![CDATA[ Definition ‘a compressed, abstract representation of text data** where text of arbitrary length can be represented as a fixed-size vector of numbers’ Compression Technologies Originally, compression To learn the DPR embedding, they fine-tuned two independent BERT-based encoders on existing question-... ]]></description>
    <pubDate>Wed, 01 Apr 2026 18:49:45 GMT</pubDate>
  </item><item>
    <title>Linear Regression</title>
    <link>https://writing.scottwebdev.net/Computing/Machine-Learning/Linear-Regression/Linear-Regression</link>
    <guid>https://writing.scottwebdev.net/Computing/Machine-Learning/Linear-Regression/Linear-Regression</guid>
    <description><![CDATA[ A traditional scatter-plot, where a line is derived from the scatter algorithmically Also known as OLS (Ordinary Least Squares), Analogoousla linear regression compares independent variables (x-axis) to dependent variables (y-axis) In an ML context, the relationship of the x-axis to the y-axis is te... ]]></description>
    <pubDate>Wed, 01 Apr 2026 18:49:45 GMT</pubDate>
  </item><item>
    <title>Logistic Regression</title>
    <link>https://writing.scottwebdev.net/Computing/Machine-Learning/Logistic-Regression</link>
    <guid>https://writing.scottwebdev.net/Computing/Machine-Learning/Logistic-Regression</guid>
    <description><![CDATA[ Logistic regression refers to the statistical modelling of categorical outcomes. ]]></description>
    <pubDate>Wed, 01 Apr 2026 18:49:45 GMT</pubDate>
  </item><item>
    <title>Derivative of MSE (testolimited.com)</title>
    <link>https://writing.scottwebdev.net/Computing/Machine-Learning/Loss/Derivative-of-MSE-(testolimited.com)</link>
    <guid>https://writing.scottwebdev.net/Computing/Machine-Learning/Loss/Derivative-of-MSE-(testolimited.com)</guid>
    <description><![CDATA[ Understanding Mean Squared Error (MSE) Mean Squared Error (MSE) serves as a key metric for measuring the accuracy of a predictive model. ]]></description>
    <pubDate>Wed, 01 Apr 2026 18:49:45 GMT</pubDate>
  </item><item>
    <title>Convert Hex to Decimal</title>
    <link>https://writing.scottwebdev.net/Computing/Machine-Learning/Maths/Convert-Hex-to-Decimal</link>
    <guid>https://writing.scottwebdev.net/Computing/Machine-Learning/Maths/Convert-Hex-to-Decimal</guid>
    <description><![CDATA[ Stolen from Geeks-for-Geeks.com What is a hexadecimal number? hex = a numeral written in base decimal = a numeral written in base Hex notation The sequence of possible values for a digit in a sequence of Hex numbers begins with the first numbers being written with standard decimal notation (0-9), af... ]]></description>
    <pubDate>Wed, 01 Apr 2026 18:49:45 GMT</pubDate>
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