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    <title>2.1.5: Recap | GenAI Learning</title>
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    <description>Summary: How Generative AI Processes Text When you enter a prompt like:&#xA;➡️ &#34;Explain black holes&#34;&#xA;A Generative AI model follows these steps:&#xA;Step 1: Tokenization&#xA;Breaks text into smaller parts (tokens).&#xA;Example:&#xA;&#34;Explain black holes&#34; → [&#34;explain&#34;, &#34;black&#34;, &#34;holes&#34;]&#xA;Step 2: Embeddings&#xA;Each token is converted into a numerical vector for processing.&#xA;Step 3: Transformer Model Processing&#xA;Self-attention determines which words matter the most. Multiple layers refine understanding. Step 4: Text Generation</description>
    <generator>Hugo</generator>
    <language>en-us</language>
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