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		<title>SVM Evaluation on AIBussin — AI applications, systems and books</title>
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				<title>The Shape of Thought: Exploring Embedding Strategies with Ollama, HF, and H-Net</title>
				<link>https://aibussin.com/post/hnet/</link>
				<pubDate>Sat, 19 Jul 2025 22:06:13 +0100</pubDate>
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				<description>&lt;h2 id=&#34;-summary&#34;&gt;🔍 Summary&lt;/h2&gt;&#xA;&lt;p&gt;Stephanie, a self-improving system, is built on a powerful belief:&lt;/p&gt;&#xA;&lt;blockquote&gt;&#xA;&lt;p&gt;&lt;strong&gt;If an AI can evaluate its own understanding, it can reshape itself.&lt;/strong&gt;&lt;/p&gt;&#xA;&lt;/blockquote&gt;&#xA;&lt;p&gt;This principle fuels every part of her design from embedding to scoring to tuning.&lt;/p&gt;&#xA;&lt;p&gt;At the heart of this system is a &lt;strong&gt;layered reasoning pipeline&lt;/strong&gt;:&lt;/p&gt;&#xA;&lt;ul&gt;&#xA;&lt;li&gt;&lt;strong&gt;MRQ&lt;/strong&gt; offers directional, reinforcement-style feedback.&lt;/li&gt;&#xA;&lt;li&gt;&lt;strong&gt;EBT&lt;/strong&gt; provides uncertainty-aware judgments and convergence guidance.&lt;/li&gt;&#xA;&lt;li&gt;&lt;strong&gt;SVM&lt;/strong&gt; delivers fast, efficient evaluations for grounded comparisons.&lt;/li&gt;&#xA;&lt;/ul&gt;&#xA;&lt;p&gt;These models form Stephanie’s &lt;strong&gt;subconscious engine&lt;/strong&gt; the part of her mind that runs beneath explicit thought, constantly shaping her understanding. But like any subconscious, its &lt;em&gt;clarity&lt;/em&gt; depends on how raw experience is &lt;strong&gt;represented&lt;/strong&gt;.&lt;/p&gt;</description>
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