Transformers for natural language processing : build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4

Author(s)

• Rothman, Denis
• Gulli, Antonio

Bibliographic Information

Transformers for natural language processing : build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4

Denis Rothman ; [foreword by: Antonio Gulli]

（Expert insight）

Packt Publishing, 2022

2nd ed

• : pbk

Note

First published: 2021

Includes bibliographical references and index

Includes a bonus chapter on ChatGPT and GPT-4

Details

• NCID: BD02939524
• ISBN:
  • 9781803247335
• Country Code: uk
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Birmingham
• Pages/Volumes: xxxiii, 565 p.
• Size: 24 cm
• Classification:
  • DC23 : 006.31
• Subject Headings:
  • LCSH : Deep learning (Machine learning)
  • LCSH : Natural language processing (Computer science)
• Parent Bibliography ID:
  • BB2464061X