Instead of relying on a massive, general-purpose LLM to handle your startup's core workflow, use it to train a smaller model.
The Technique: Use Amazon Bedrock Model Distillation. Use your premium "Teacher" model (e.g., Claude 3.5 Sonnet) to generate high-quality synthetic responses from your dataset, and use those outputs to fine-tune a much cheaper "Student" model (like Amazon Nova Mini or an open-source Llama 8B).
The Savings: You get near-premium accuracy for a fraction of the per-token hardware costs.
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