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@@ -16,7 +16,7 @@ Split the monolithic backend into modular components:
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This architecture solves:
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- ✅ GitHub 2GB release artifact limit
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- ✅ Frequent app updates without re-downloading large ML models
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- ✅ Frequent app updates without re-downloading large python binaries
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- ✅ User choice of compute backend (CPU/GPU/Cloud)
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- ✅ External provider support (OpenAI, custom servers)
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- ✅ Future extensibility
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