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README.md
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**DMind-3-mini** introduces **Contrastive Chain-of-Correction Supervised Fine-Tuning (C³-SFT)**. Unlike standard SFT which models a direct mapping \\(P(y|x)\\), C³-SFT forces the model to navigate a Correction Trajectory by contrasting against plausible but flawed reasoning.
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### Mathematical Formalization
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### The Brain & Shield Ecosystem
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For maximum security, we recommend the **DMind Local Stack**:
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* **The Brain (DMind-3-mini):** Runs on your high-performance laptop. Handles complex strategy formulation, deep research, and System 2 logic.
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**DMind-3-mini** introduces **Contrastive Chain-of-Correction Supervised Fine-Tuning (C³-SFT)**. Unlike standard SFT which models a direct mapping \\(P(y|x)\\), C³-SFT forces the model to navigate a Correction Trajectory by contrasting against plausible but flawed reasoning.
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*(Figure 1: The C³-SFT training pipeline, illustrating the Triplet Data Structure and Contextual Loss Masking)*
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### Mathematical Formalization
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### The Brain & Shield Ecosystem
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For maximum security, we recommend the **DMind Local Stack**:
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*(Figure 2: The On-Device Inference Ecosystem showing the synergy between Nano and Mini)*
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* **The Brain (DMind-3-mini):** Runs on your high-performance laptop. Handles complex strategy formulation, deep research, and System 2 logic.
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