Exploring the Power of ChatGPT: Applications, Techniques, and Implications

ISBN-13: 9781484295281 / Angielski / Miękka / 2023 / 172 str.

Eric Sarrion

Spis treści

Part 1: Introduction to ChatGPT

1 -  What is ChatGPT ?

Describes hat is ChatGPT, its history...

• 1.1  Definition of ChatGPT

• 1.2  ChatGPT History

• 1.3  Versions of ChatGPT

• 1.4  Application areas of ChatGPT

2 -  How Does ChatGPT Work?

Describes how it works inside

• 2.1  Neural networks

• 2.2  Natural language processing techniques used by ChatGPT

• 2.3  The data used to train ChatGPT

• 2.4  The advantages and limitations of ChatGPT

3 -  Applications of ChatGPT

Describes what you can do whith ChatGPT

• 3.1  Chatbots and virtual assistants

• 3.2  Machine translation apps

• 3.3  Content writing apps

• 3.4  Applications in information retrieval

Part 2:  How To Train and Use ChatGPT

4 -  ChatGPT Training

Describes how to build the models used by ChatGPT

• 4.1  Data collection and preparation

• 4.2  ChatGPT training settings

• 4.3  Training tools available

• 4.4  Techniques to improve ChatGPT performance

5 -  Using ChatGPT in Development Projects

Describes how to use ChatGPT in a web page with an API

• 5.1  Libraries and frameworks for ChatGPT

• 5.2  Examples of projects using ChatGPT

• 5.3  Techniques to integrate ChatGPT into applications

• 5.4  Use ChatGPT with the OpenAI API

• 5.5  Use ChatGPT with a voice interface

• 5.6  Methods to evaluate the performance of ChatGPT

6 -  Best Practices for Using ChatGPT

Describes how to optimize ChatGPT

• 6.1   Strategies to ensure the quality of input data

• 6.2  Techniques to avoid bias in data

• 6.3  Methods to optimize ChatGPT performance

• 6.4  ChatGPT maintenance tips

Part 3 The Ethical Implications of ChatGPT

7 -  Potential Biases and Risks of ChatGPT

Describes biases and riks of ChatGPT

• 7.1  Sources of bias in the data

• 7.2  The risks of discrimination and stigmatization

• 7.3  The limits of ChatGPT transparency

• 7.4  Consequences for privacy and data security

  

8 -  The Implications of ChatGPT on Employment and Society

Describes impacts on employment and society

• 8.1  The impacts on employment in various sectors

• 8.2  The implications for education and vocational training

• 8.3  Consequences for social and cultural norms

• 8.4  Political and legal responses to the changes brought about by ChatGPT

9 -  Regulations and Standards for Using ChatGPT

Describes responsible use of ChatGPT

• 9.1  Existing regulations for consumer protection

• 9.2  Standards for Responsible Use of ChatGPT

• 9.3  ChatGPT governance initiatives

• 9.4  Considerations for Legal and Ethical Responsibility of ChatGPT

Part 4 Future Prospects of ChatGPT

10 -  Future Developments of ChatGPT

Describes future developments 

• 10.1  Advances in Machine Learning and Natural Language Processing Research

• 10.2  ChatGPT performance and efficiency improvements

• 10.3  Advances in applications and areas of use of ChatGPT

• 10.4  Developments in the competition and the ChatGPT market

11 -  The Long Term Outlook for ChatGPT

Describes long term outlook

• 11.1  The implications for artificial intelligence and cognition

• 11.2  Merging possibilities between ChatGPT and other emerging technologies

• 11.3  The challenges of adopting and accepting ChatGPT

• 11.4  Issues for regulation and governance of ChatGPT

Part 5 : Examples of Using ChatGPT

12 - Using ChatGPT for Text Content Creation

13 - Using ChatGPT for Software Programming

14 - Using ChatGPT for Text Translation

15 - Using ChatGPT for Artistic Content Creation

16 - Using ChatGPT for Innovation and Creativity

17 -  Conclusion

Gives a conclusion of the book

• 17.1  Summaries of the key elements covered in the book

• 17.2  Final thoughts on the impact and implications of ChatGPT

• 17.3  Suggestions for future research and development on ChatGPT

• 17.4  Considerations for the ethical and responsible use of ChatGPT in the future.

• 17.5 In conclusion

O autorze

Eric Sarrion is a trainer, developer, and independent consultant. He has been involved in all kinds of IT projects over the past 30 years. He is also a long-time author of web development technologies and is renowned for the clarity of his explanations and examples. He resides in Paris, France.

Blurb

Learn how to use the large-scale natural language processing model developed by OpenAI: ChatGPT. This book explains how ChatGPT uses machine learning to autonomously generate text based on user input and explores the significant implications for human communication and interaction.

Author Eric Sarrion examines various aspects of ChatGPT, including its internal workings, use in computer projects, and impact on employment and society. He also addresses long-term perspectives for ChatGPT, including possible future advancements, adoption challenges, and considerations for ethical and responsible use. The book starts with an introduction to ChatGPT covering its versions, application areas, how it works with neural networks, NLP, and its advantages and limitations. Next, you'll be introduced to applications and training development projects using ChatGPT, as well as best practices for it. You'll then explore the ethical implications of ChatGPT, such as potential biases and risks, regulations, and standards. This is followed by a discussion of future prospects for ChatGPT. The book concludes with practical use case examples, such as text content creation, software programming, and innovation and creativity.

This essential book summarizes what may be one of the most significant developments in artificial intelligence in recent history and provides useful insights for researchers, policymakers, and anyone interested in the future of technology.

You will: 

• Understand the basics of deep learning and text generation using language models such as ChatGPT
• Prepare data and train a language model to generate text
• Use ChatGPT for various applications such as marketing text generation or answering questions
• Understand the use of ChatGPT through the OpenAI API and how to optimize model performance