ARCHIVES

1. Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., … & Amodei, D. (2020). Language models are few-shot learners. arXiv preprint arXiv:2005.14165.
2. Hugging Face. (2024). Transformers Documentation.ImageNet classification with deep convolutional neural networks.2024
3. Isola, P., Zhu, J. Y., Zhou, T., & Efros, A. A. (2017). Image-to-image translation with conditional adversarial networks. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 1125–1134).
4. Kingma, D. P., & Welling, M. (2014). Auto-encoding variational Bayes. arXiv preprint arXiv:1312.6114.
5. Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2012). ImageNet classification with deep convolutional neural networks. In Advances in Neural Information Processing Systems (pp. 1097–1105).
6. OpenAI. (2023). DALL·E: Creating Images from Text.ImageNet classification with deep convolutional neural networks.2023
7. OpenAI. (2023). ChatGPT: Optimizing language models for dialogue.ImageNet classification with deep convolutional neural networks,2024
8. Oord, A. v. d., Li, Y., & Vinyals, O. (2018). Representation learning with contrastive predictive coding. arXiv preprint arXiv:1807.03748.
9. Plant UML. (2024). Open-source tool to draw UML diagrams.ImageNet classification with deep convolutional neural networks.2024
10. Radford, A., Kim, J. W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., … & Sutskever, I. (2021). Learning transferable visual models from natural language supervision. arXiv preprint arXiv:2103.00020.
11. Radford, A., Narasimhan, K., Salimans, T., & Sutskever, I. (2018). Improving language understanding by generative pre-training. OpenAI.
12. Ramesh, A., Pavlov, M., Goh, G., Gray, S., Voss, C., Radford, A., … & Sutskever, I. (2021). Zero-shot text-to-image generation. arXiv preprint arXiv:2102.12092.