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Transformers for Natural Language Processing - Second Edition
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Transformers for Natural Language Processing - Second Edition
by Denis Rothman, Antonio Gulli
Transformers for Natural Language Processing - Second Edition
Preface
What are Transformers?
Getting Started with the Architecture of the Transformer Model
Fine-Tuning BERT Models
Pretraining a RoBERTa Model from Scratch
Downstream NLP Tasks with Transformers
Machine Translation with the Transformer
The Rise of Suprahuman Transformers with GPT-3 Engines
Applying Transformers to Legal and Financial Documents for AI Text Summarization
Matching Tokenizers and Datasets
Semantic Role Labeling with BERT-Based Transformers
Let Your Data Do the Talking: Story, Questions, and Answers
Detecting Customer Emotions to Make Predictions
Analyzing Fake News with Transformers
Interpreting Black Box Transformer Models
From NLP to Task-Agnostic Transformer Models
The Emergence of Transformer-Driven Copilots
The Consolidation of Suprahuman Transformers with OpenAI’s ChatGPT and GPT-4
Appendix I — Terminology of Transformer Models
Appendix II — Hardware Constraints for Transformer Models
Appendix III — Generic Text Completion with GPT-2
Appendix IV — Custom Text Completion with GPT-2
Appendix V — Answers to the Questions
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Index
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