Update README.md

README.md

@@ -73,7 +73,6 @@ This model is designed to generate PyTorch neural network architectures for imag
 - Not optimized for other datasets (MNIST, ImageNet, etc.)
 - Not designed for other tasks (object detection, segmentation, etc.)
 - Not optimized for multi-epoch training (focuses on first-epoch performance)
-- May not generalize to different input/output shapes
 
 ## How to Use
 
@@ -214,7 +213,7 @@ If you use this model, please cite:
 - Evaluation: CIFAR-10 dataset
 
 ## Model Details
-- Developed by: [Roman Kochnev / ABrain]
+- Developed by: [Waleed Khalid / ABrain]
 - Finetuned from model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
 - Model type: Causal Language Model (Transformer-based)
 - Language(s) (NLP): Primarily English (or multilingual, if applicable)