2021
1: Getting Started with the Model Architecture of the Transformer
2: Fine-Tuning BERT Models
3: Pretraining a RoBERTa Model from Scratch
4: Downstream NLP Tasks with Transformers
5: Machine Translation with the Transformer
6: Text Generation with OpenAI GPT-2 and GPT-3 Models
7: Applying Transformers to Legal and Financial Documents for AI Text Summarization
8: Matching Tokenizers and Datasets
9: Semantic Role Labeling with BERT-Based Transformers
10: Let Your Data Do the Talking: Story, Questions, and Answers
11: Detecting Customer Emotions to Make Predictions
12: Analyzing Fake News with Transformers
1: Getting Started with the Model Architecture of the Transformer
2: Fine-Tuning BERT Models
3: Pretraining a RoBERTa Model from Scratch
4: Downstream NLP Tasks with Transformers
5: Machine Translation with the Transformer
6: Text Generation with OpenAI GPT-2 and GPT-3 Models
7: Applying Transformers to Legal and Financial Documents for AI Text Summarization
8: Matching Tokenizers and Datasets
9: Semantic Role Labeling with BERT-Based Transformers
10: Let Your Data Do the Talking: Story, Questions, and Answers
11: Detecting Customer Emotions to Make Predictions
12: Analyzing Fake News with Transformers