In this unit:

- The evolution of NLP models (from rule-based systems to deep learning).
- Transformer-based architectures (BERT, GPT, T5) and their applications.
- The impact of self-supervised learning on NLP advancements.
- Evaluation metrics for NLP models, including BLEU, ROUGE, and perplexity.

- How MLOps is applied to NLP, including model monitoring and retraining.

e-Portfolio Component

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