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docs: add Plain English Analogy / ELI5 cards for FrugalGPT and RouterBench to make academic theories intuitive

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  1. docs/index.html +26 -0
docs/index.html CHANGED
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  </div>
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  <!-- Live Cascade Simulator Box -->
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  <div class="simulator-box">
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  <h3>🎛️ Interactive Cascade Simulator</h3>
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  </div>
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  </div>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  <!-- Research Papers Reference -->
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  <div class="glass-card" style="margin-top: 2rem;">
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  <h2>📚 Original Research Papers & Reference Hub</h2>
 
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  </div>
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  </div>
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+ <!-- Plain English Analogy / ELI5 for FrugalGPT -->
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+ <div class="sub-card" style="margin-top: 1.5rem; background: rgba(109, 40, 217, 0.02); border-color: rgba(109, 40, 217, 0.15); display: flex; gap: 1rem; align-items: flex-start;">
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+ <span style="font-size: 1.5rem;">💡</span>
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+ <div>
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+ <h4 style="font-family: var(--font-outfit); font-weight: 700; color: var(--accent-violet); margin-bottom: 0.25rem;">Plain English Analogy: How FrugalGPT works</h4>
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+ <p style="font-size: 0.9rem; color: var(--text-secondary); line-height: 1.5;">
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+ Imagine you want to fry a simple egg. Instead of hiring a Michelin-star chef (an expensive cloud model like GPT-4o), you try a fast-food joint first (a free local model like Ollama).
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+ If the fast food doesn't taste right (fails format or quality checks), you throw it away and immediately escalate to the fine-dining chef. This sequential escalation saves you massive API costs because most queries are simple "eggs" that local models can handle perfectly!
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+ </p>
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+ </div>
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+ </div>
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+
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  <!-- Live Cascade Simulator Box -->
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  <div class="simulator-box">
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  <h3>🎛️ Interactive Cascade Simulator</h3>
 
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  </div>
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  </div>
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  </div>
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+
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+ <!-- Plain English Analogy / ELI5 for RouterBench -->
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+ <div class="sub-card" style="margin-top: 1.5rem; background: rgba(109, 40, 217, 0.02); border-color: rgba(109, 40, 217, 0.15); display: flex; gap: 1rem; align-items: flex-start; margin-bottom: 2rem;">
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+ <span style="font-size: 1.5rem;">💡</span>
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+ <div>
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+ <h4 style="font-family: var(--font-outfit); font-weight: 700; color: var(--accent-violet); margin-bottom: 0.25rem;">Plain English Analogy: Utility Score & AIQ</h4>
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+ <p style="font-size: 0.9rem; color: var(--text-secondary); line-height: 1.5;">
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+ Choosing an AI model is like shopping. You want the highest quality item, but at the lowest price.
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+ The **Utility Score** calculates this: <code>Score = Quality - Cost</code>. If you are rich (high \(\lambda\)), you care more about premium quality; if you're on a budget (low \(\lambda\)), price becomes your primary decision factor.
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+ **AIQ (Area Under the Curve)** is simply your "shopping efficiency score" across all possible budgets—a smart router pushes this score as high as possible compared to random buying.
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+ </p>
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+ </div>
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+ </div>
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+
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  <!-- Research Papers Reference -->
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  <div class="glass-card" style="margin-top: 2rem;">
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  <h2>📚 Original Research Papers & Reference Hub</h2>