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Transformer, BERT, and GPT: including ChatGPT and prompt engineering

This book provides a comprehensive group of topics covering the details of the Transformer architecture, BERT models, and the GPT series, including GPT-3 and GPT-4. Spanning across ten chapters, it begins with foundational concepts such as the attention mechanism, then tokenization techniques, explo...

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Bibliographic Details
Main Author:	Campesato, Oswald (Author)
Format:	Electronic eBook
Language:	English
Published:	Dulles, VA Mercury Learning and Information [2023]
Subjects:	COMPUTERS / General Artificial intelligence > Computer programs Artificial intelligence Human-computer interaction Natural language processing (Computer science) Software engineering
Links:	https://doi.org/10.1515/9781683928973 https://doi.org/10.1515/9781683928973 https://doi.org/10.1515/9781683928973 https://doi.org/10.1515/9781683928973 https://doi.org/10.1515/9781683928973 https://doi.org/10.1515/9781683928973 https://doi.org/10.1515/9781683928973 https://doi.org/10.1515/9781683928973 https://doi.org/10.1515/9781683928973 https://doi.org/10.1515/9781683928973 https://doi.org/10.1515/9781683928973 https://doi.org/10.1515/9781683928973
Summary:	This book provides a comprehensive group of topics covering the details of the Transformer architecture, BERT models, and the GPT series, including GPT-3 and GPT-4. Spanning across ten chapters, it begins with foundational concepts such as the attention mechanism, then tokenization techniques, explores the nuances of Transformer and BERT architectures, and culminates in advanced topics related to the latest in the GPT series, including ChatGPT. Key chapters provide insights into the evolution and significance of attention in deep learning, the intricacies of the Transformer architecture, a two-part exploration of the BERT family, and hands-on guidance on working with GPT-3. The concluding chapters present an overview of ChatGPT, GPT-4, and visualization using generative AI. In addition to the primary topics, the book also covers influential AI organizations such as DeepMind, OpenAI, Cohere, Hugging Face, and more. Readers will gain a comprehensive understanding of the current landscape of NLP models, their underlying architectures, and practical applications. Features companion files with numerous code samples and figures from the book
Physical Description:	1 Online-Ressource (364 Seiten)
ISBN:	9781683928973
DOI:	10.1515/9781683928973

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spellingShingle	Campesato, Oswald Transformer, BERT, and GPT including ChatGPT and prompt engineering COMPUTERS / General bisacsh Artificial intelligence Computer programs Artificial intelligence Human-computer interaction Natural language processing (Computer science) Software engineering
title	Transformer, BERT, and GPT including ChatGPT and prompt engineering
title_auth	Transformer, BERT, and GPT including ChatGPT and prompt engineering
title_exact_search	Transformer, BERT, and GPT including ChatGPT and prompt engineering
title_full	Transformer, BERT, and GPT including ChatGPT and prompt engineering Oswald Campesato
title_fullStr	Transformer, BERT, and GPT including ChatGPT and prompt engineering Oswald Campesato
title_full_unstemmed	Transformer, BERT, and GPT including ChatGPT and prompt engineering Oswald Campesato
title_short	Transformer, BERT, and GPT
title_sort	transformer bert and gpt including chatgpt and prompt engineering
title_sub	including ChatGPT and prompt engineering
topic	COMPUTERS / General bisacsh Artificial intelligence Computer programs Artificial intelligence Human-computer interaction Natural language processing (Computer science) Software engineering
topic_facet	COMPUTERS / General Artificial intelligence Computer programs Artificial intelligence Human-computer interaction Natural language processing (Computer science) Software engineering
url	https://doi.org/10.1515/9781683928973
work_keys_str_mv	AT campesatooswald transformerbertandgptincludingchatgptandpromptengineering

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