Mastering Transformers

Table of Contents

1. From Bag-of-Words to the Transformer
2. A Hands-On Introduction to the Subject
3. Autoencoding Language Models
4. Autoregressive Language Models
5. Fine-Tuning Language Model for Text Classification
6. Fine-Tuning Language Models for Token Classification
7. Text Representation
8. Boosting Your Model Performance
9. Parameter Efficient Fine-Tuning
10. Zero-Shot and Few-Shot Learning in NLP
11. Explainable AI (XAI) for NLP
12. Working with Efficient Transformers
13. Cross-Lingual Language Modeling
14. Serving Transformer Models
15. Model Tracking and Monitoring
16. Vision Transformers
17. Tabular Transformers
18. Multi-Model Transformers