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@@ -42,7 +42,7 @@ A **336M parameter GPT** language model trained **entirely from scratch** on 200
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  **No pre-trained weights. No fine-tuning. Every component built from scratch**: custom BPE tokenizer, full transformer architecture (RoPE + RMSNorm + SwiGLU), training loop, and evaluation pipeline.
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  > **Paper**: [ArXiv preprint (coming soon)]()
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- > **Blog**: [Medium article (coming soon)]()
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  > **Code**: Included in this repository
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  ---
 
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  **No pre-trained weights. No fine-tuning. Every component built from scratch**: custom BPE tokenizer, full transformer architecture (RoPE + RMSNorm + SwiGLU), training loop, and evaluation pipeline.
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  > **Paper**: [ArXiv preprint (coming soon)]()
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+ > **Blog**: [Medium article](https://medium.com/@parthchaturvedi_97130/i-built-a-336m-parameter-gpt-from-scratch-for-pharmaceutical-manufacturing-heres-everything-i-69707959aa78)
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  > **Code**: Included in this repository
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  ---