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README.md
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### Computational Requirements
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| Resource | Requirement | Notes |
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|----------|-------------|--------|
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| Storage | ~
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| Memory | ~
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| Inference Time | ~10ms | On CPU, per text sample |
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| Training Hardware | P100 GPU | Free tier on Kaggle |
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| Training Time | ~4 hours total | Mostly embedding generation |
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- Future work: Explore non-linear transformations
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## Memory and Computation Requirements
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- Transformation Matrix: 1024 × 1024 × 4 bytes ≈
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- Inference Time: ~10ms on CPU (matrix multiplication)
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- Total Model Size: ~
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- Base Model: ~770M parameters (loaded only during embedding creation)
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## Acknowledgments
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### Computational Requirements
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| Resource | Requirement | Notes |
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|----------|-------------|--------|
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| Storage | ~9MB per matrix | 1024×1024 float32 values |
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| Memory | ~27MB total | All three domain matrices |
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| Inference Time | ~10ms | On CPU, per text sample |
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| Training Hardware | P100 GPU | Free tier on Kaggle |
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| Training Time | ~4 hours total | Mostly embedding generation |
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- Future work: Explore non-linear transformations
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## Memory and Computation Requirements
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- Transformation Matrix: 1024 × 1024 × 4 bytes ≈ 9MB per domain
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- Inference Time: ~10ms on CPU (matrix multiplication)
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- Total Model Size: ~27MB (all three domains)
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- Base Model: ~770M parameters (loaded only during embedding creation)
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## Acknowledgments
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