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README.md

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 # SFT Tiny Titans 🚀
 Tune NLP 🧠 or CV 🎨 fast! Texts 📝 or pics 📸, SFT shines ✨. `pip install -r requirements.txt`, `streamlit run app.py`. Snap cams 📷, craft art—AI’s lean & mean! 🎉 #SFTSpeed
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+- **[Attention is All You Need](https://arxiv.org/abs/1706.03762)** - Vaswani et al., 2017: The transformer architecture powering NLP.
+- **[Denoising Diffusion Probabilistic Models](https://arxiv.org/abs/2006.11239)** - Ho et al., 2020: Diffusion models for image generation.
+- **[Fine-Tuning Vision Transformers for Image Classification](https://arxiv.org/abs/2106.10504)** - Dosovitskiy et al., 2021: SFT in CV contexts.
+- **[PyTorch: An Imperative Style, High-Performance Deep Learning Library](https://arxiv.org/abs/1912.01703)** - Paszke et al., 2019: The backbone of our deep learning stack.