TY  - BOOK
AU  - Rothman Denis.
TI  - Transformers for natural language processing: Build train and finetune deep neural network architectures for NLP with python hugging face and open AIs GPT-3 ChatGP and GPT-4
SN  - 9781803247335
AV  - QA76.9 .N38  .R68 2022
PY  - 2022///
CY  - Birmingham
PB  - Packt
N1  - 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
ER  -