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README.md

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-* **AXM-CoT Models:** Fine-tuned LLMs and SLMs optimized for multi-step reasoning, self-correction, and logical density.
-* **Logic-Correction Frameworks:** Training models to identify and fix reasoning "wrong trajectories" using a 3-stage critique process.
-* **Verifiable Synthetic Data:** Engineering high-density datasets for Mathematics, logic.
+* **CoT Models:** Fine-tuned LLMs and SLMs optimized for multi-step reasoning, self-correction, and logical density (Coming Soon!).
+* **Verifiable Synthetic Dataset:** Engineering high-density datasets for Mathematics, logic.
+> [!NOTE]
+> Our new State-of-The-Art Frontier Dataset (Axis-1) has just launched! check it out by searching it!
+
 
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 | Project | Type | Description |
 | :--- | :--- | :--- |
-| **Synthetic-Critique-I** | Dataset | Synthetic 3-stage reasoning trajectories (Attempt → Critique → Correction) |
-| **AXM-I-0.5B** | SLM | An 500M model trained on dense CoT dataset to punch above it's weight class |
+| **Axis-1** | Dataset | An Resarch-lab grade frontier difficulty State-of-The-Art Reasoning dataset 💪|
+| **ALTO-Low** | SLM | An 500M model trained on Frontier CoT dataset to make it the most capable 500M model |
 
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