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      <title>The Sixth Layer: When a Local Model Beats the LLM That Trained It</title>
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      <description>A follow-up to my LLM cost-optimization post: how I replaced ~55% of the remaining LLM calls in a product classifier with a small local model trained on the LLM&amp;#39;s own labels — and why the local model ended up more accurate than the labels it learned from.</description>
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      <title>From $200 to $30: Five Layers of LLM Cost Optimization</title>
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      <description>A walkthrough of how I cut an LLM-based product classifier&amp;#39;s token usage by ~92% through compression, two-stage prompting, exact-match lookups, similarity caching, and batching.</description>
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