List of resources:

1. https://towardsdatascience.com/how-to-get-started-in-nlp-6a62aa4eaeff
2. https://qr.ae/pywNgs
3. https://medium.com/dair-ai/my-recommendations-for-getting-started-with-nlp-f88d07ceaff5
4. https://medium.com/dair-ai/deep-learning-for-nlp-an-overview-of-recent-trends-d0d8f40a776d
5. https://web.stanford.edu/class/cs224n/
6. https://stanford-cs324.github.io/winter2022/lectures/
7. https://medium.com/@llmforce/the-essential-skills-for-large-language-model-development-what-you-need-to-know-3674eff9072d
8. https://www.assemblyai.com/blog/emergent-abilities-of-large-language-models/
9. https://www.coursera.org/specializations/natural-language-processing
10. https://www.coursera.org/learn/deep-neural-networks-with-pytorch
11. https://github.com/delip/PyTorchNLPBook
12. https://www.datacamp.com/tutorial/nlp-with-pytorch-a-comprehensive-guide
13. https://www.coursera.org/learn/building-deep-learning-models-with-tensorflow?specialization=ai-engineer
14. https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops
15. https://www.kaggle.com/code/tanulsingh077/deep-learning-for-nlp-zero-to-transformers-bert
16. https://towardsdatascience.com/10-exciting-project-ideas-using-large-language-models-llms-for-your-portfolio-970b7ab4cf9e
17. https://www.deeplearning.ai/courses/generative-ai-with-llms/