1. Trang chủ
  2. » Giáo án - Bài giảng

Exploring the power of chatgpt applications, techniques, and implications

206 3 0

Đang tải... (xem toàn văn)

Tài liệu hạn chế xem trước, để xem đầy đủ mời bạn chọn Tải xuống

THÔNG TIN TÀI LIỆU

Nội dung

Exploring the Power of ChatGPT Applications, Techniques, and Implications — Eric Sarrion Exploring the Power of ChatGPT Applications, Techniques, and Implications Eric Sarrion Exploring the Power of ChatGPT: Applications, Techniques, and Implications Eric Sarrion Paris, France ISBN-13 (pbk): 978-1-4842-9528-1 https://doi.org/10.1007/978-1-4842-9529-8 ISBN-13 (electronic): 978-1-4842-9529-8 Copyright © 2023 by Eric Sarrion This work is subject to copyright All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed Trademarked names, logos, and images may appear in this book Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made The publisher makes no warranty, express or implied, with respect to the material contained herein Managing Director, Apress Media LLC: Welmoed Spahr Acquisitions Editor: Celestin Suresh John Development Editor: Laura Berendson Editorial Assistant: Mark Powers Cover designed by eStudioCalamar Cover image by Ross Stone on Unsplash (www.unsplash.com) Distributed to the book trade worldwide by Springer Science+Business Media New York, New York Plaza, Suite 4600, New York, NY 10004-1562, USA. Phone 1-800-SPRINGER, fax (201) 348-4505, e-mail orders-ny@springer-sbm.com, or visit www.springeronline.com Apress Media, LLC is a California LLC and the sole member (owner) is Springer Science + Business Media Finance Inc (SSBM Finance Inc) SSBM Finance Inc is a Delaware corporation For information on translations, please e-mail booktranslations@springernature.com; for reprint, paperback, or audio rights, please e-mail bookpermissions@springernature.com Apress titles may be purchased in bulk for academic, corporate, or promotional use eBook versions and licenses are also available for most titles For more information, reference our Print and eBook Bulk Sales web page at www.apress.com/bulk-sales Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub (github.com/apress) For more detailed information, please visit www.apress.com/source-code Printed on acid-free paper Table of Contents About the Author���������������������������������������������������������������������������������ix Introduction�����������������������������������������������������������������������������������������xi Part I: Introduction to ChatGPT����������������������������������������������������1 Chapter 1: What Is ChatGPT ?���������������������������������������������������������������3 Definition of ChatGPT��������������������������������������������������������������������������������������������3 ChatGPT History����������������������������������������������������������������������������������������������������4 Versions of ChatGPT����������������������������������������������������������������������������������������������5 Application Areas of ChatGPT��������������������������������������������������������������������������������6 Summary��������������������������������������������������������������������������������������������������������������8 Chapter 2: How Does ChatGPT Work?���������������������������������������������������9 Training and Personalization���������������������������������������������������������������������������������9 Neural Networks�������������������������������������������������������������������������������������������������10 Natural Language Processing Techniques Used by ChatGPT������������������������������11 The Data Used to Train ChatGPT��������������������������������������������������������������������������13 An Example of Training ChatGPT�������������������������������������������������������������������������15 The Advantages and Limitations of ChatGPT������������������������������������������������������15 Summary������������������������������������������������������������������������������������������������������������16 iii Table of Contents Chapter 3: Applications of ChatGPT����������������������������������������������������17 Chatbots and Virtual Assistants��������������������������������������������������������������������������17 Machine Translation Apps�����������������������������������������������������������������������������������18 Content Writing Apps�������������������������������������������������������������������������������������������20 Applications in Information Retrieval������������������������������������������������������������������22 Summary������������������������������������������������������������������������������������������������������������24 Part II: How to Train and Use ChatGPT���������������������������������������25 Chapter 4: ChatGPT Training���������������������������������������������������������������27 Pre-training and Training of ChatGPT������������������������������������������������������������������27 Fine-Tuning���������������������������������������������������������������������������������������������������������28 Data Collection and Preparation�������������������������������������������������������������������������28 ChatGPT Training Settings�����������������������������������������������������������������������������������30 Training Tools Available���������������������������������������������������������������������������������������31 Techniques to Improve ChatGPT Performance����������������������������������������������������32 Summary������������������������������������������������������������������������������������������������������������33 Chapter 5: Using ChatGPT in Development Projects���������������������������35 Libraries and Frameworks for ChatGPT��������������������������������������������������������������35 Examples of Projects Using ChatGPT������������������������������������������������������������������37 Techniques to Integrate ChatGPT into Applications��������������������������������������������39 Using ChatGPT with the OpenAI API��������������������������������������������������������������������39 Use ChatGPT with a Voice Interface��������������������������������������������������������������������50 The Paid Uses of ChatGPT�����������������������������������������������������������������������������������50 Summary������������������������������������������������������������������������������������������������������������50 Chapter 6: Best Practices for Using ChatGPT�������������������������������������53 Strategies to Ensure the Quality of Input Data����������������������������������������������������53 Techniques to Avoid Bias in Data������������������������������������������������������������������������56 iv Table of Contents Methods for Evaluating ChatGPT’s Performance������������������������������������������������57 Methods to Optimize ChatGPT Performance�������������������������������������������������������58 ChatGPT Maintenance Tips���������������������������������������������������������������������������������60 Summary������������������������������������������������������������������������������������������������������������61 Part III: The Ethical Implications of ChatGPT�����������������������������63 Chapter 7: Potential Biases and Risks of ChatGPT�����������������������������65 Sources of Bias in the Data���������������������������������������������������������������������������������65 The Risks of Discrimination and Stigmatization�������������������������������������������������68 The Limits of ChatGPT Transparency�������������������������������������������������������������������69 Consequences for Privacy and Data Security�����������������������������������������������������70 Summary������������������������������������������������������������������������������������������������������������70 Chapter 8: The Implications of ChatGPT on Employment and Society�����������������������������������������������������������������������������������������73 The Impacts on Employment in Various Sectors�������������������������������������������������74 The Implications for Education and Vocational Training��������������������������������������77 Consequences for Social and Cultural Norms�����������������������������������������������������78 Environmental Considerations����������������������������������������������������������������������������79 Digital Divide�������������������������������������������������������������������������������������������������������80 Political and Legal Responses to the Changes Brought About by ChatGPT��������81 Summary������������������������������������������������������������������������������������������������������������81 Chapter 9: Regulations and Standards for Using ChatGPT�����������������83 Existing Regulations for Consumer Protection����������������������������������������������������83 Standards for Responsible Use of ChatGPT��������������������������������������������������������84 ChatGPT Governance Initiatives��������������������������������������������������������������������������86 Considerations for Legal and Ethical Responsibility of ChatGPT�������������������������88 Summary������������������������������������������������������������������������������������������������������������90 v Table of Contents Part IV: Examples of Using ChatGPT������������������������������������������91 Chapter 10: Basic Rules for Asking Questions to ChatGPT�����������������93 Getting Started����������������������������������������������������������������������������������������������������93 Tips and Best Practices for Using ChatGPT Effectively���������������������������������������96 Summary������������������������������������������������������������������������������������������������������������98 Chapter 11: Using ChatGPT for Text Content Creation for Businesses�����������������������������������������������������������������������������������������99 Marketing Text Generation����������������������������������������������������������������������������������99 Product Description Generation������������������������������������������������������������������������101 Generating a Summary to Quickly Present a Product���������������������������������������103 Summary����������������������������������������������������������������������������������������������������������106 Chapter 12: Using ChatGPT for Text Translation�������������������������������107 Simple Text Translation�������������������������������������������������������������������������������������107 Text File Translation������������������������������������������������������������������������������������������111 Summary����������������������������������������������������������������������������������������������������������116 Chapter 13: Using ChatGPT to Learn a Language�����������������������������117 Creating Vocabulary Lists for a Given Situation with ChatGPT��������������������������117 Creating General Vocabulary Lists with ChatGPT����������������������������������������������120 Grammar Error Correction with ChatGPT����������������������������������������������������������124 Summary����������������������������������������������������������������������������������������������������������127 Chapter 14: Using ChatGPT for Recruitment in Businesses��������������129 Recruitment Test Generation�����������������������������������������������������������������������������129 Generating Interview Templates�����������������������������������������������������������������������133 Summary����������������������������������������������������������������������������������������������������������137 vi Table of Contents Chapter 15: Using ChatGPT for Code Generation in Computer Programs������������������������������������������������������������������������������������������139 Code Generation for Web Projects��������������������������������������������������������������������139 Code Generation for Excel���������������������������������������������������������������������������������150 Summary����������������������������������������������������������������������������������������������������������154 Chapter 16: Using ChatGPT for Artistic Content Creation�����������������155 Song Lyric Generation���������������������������������������������������������������������������������������155 Poetry Generation���������������������������������������������������������������������������������������������159 Story Generation�����������������������������������������������������������������������������������������������163 Summary����������������������������������������������������������������������������������������������������������170 Chapter 17: Using ChatGPT for Innovation and Creativity����������������171 Finding an Original Name for a Product������������������������������������������������������������171 Unleashing Boundless Knowledge: Discovering Insights and Explanations Across (Nearly) Every Topic�������������������������������������������������������������������������������174 Innovative Product Design��������������������������������������������������������������������������������176 Summary����������������������������������������������������������������������������������������������������������180 Chapter 18: Future Developments of ChatGPT����������������������������������181 Advances in Machine Learning and Natural Language Processing Research������� 181 ChatGPT Performance and Efficiency Improvements����������������������������������������183 Advances in Applications and Areas of Use of ChatGPT������������������������������������184 Developments in the Competition and the ChatGPT Market�����������������������������186 Challenges of Distinguishing Human and AI-Generated Content in Digital Communications�����������������������������������������������������������������������������������������������187 The Long-Term Outlook for ChatGPT�����������������������������������������������������������������188 The Implications for Artificial Intelligence and Cognition����������������������������������188 vii Table of Contents Merging Possibilities Between ChatGPT and Other Emerging Technologies�����190 The Challenges of Adopting and Accepting ChatGPT����������������������������������������191 Issues for Regulation and Governance of ChatGPT�������������������������������������������192 Summary����������������������������������������������������������������������������������������������������������193 Chapter 19: Conclusion���������������������������������������������������������������������195 Summaries of the Key Elements Covered in the Book��������������������������������������195 Final Thoughts on the Impact and Implications of ChatGPT������������������������������196 Suggestions for Future Research and Development on ChatGPT���������������������197 Considerations for the Ethical and Responsible Use of ChatGPT in the Future���������������������������������������������������������������������������������������������������������198 In Conclusion����������������������������������������������������������������������������������������������������199 Index�������������������������������������������������������������������������������������������������201 viii About the Author 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 ix Chapter 18 Future Developments of ChatGPT Future advancements in ChatGPT could enable artificial intelligence to understand and communicate with humans in more advanced ways and provide more personalized and sophisticated responses However, this also raises concerns about the ability of machines to surpass human cognitive abilities and become autonomous How could machines surpass human cognitive abilities? Machines could surpass human cognitive abilities through machine learning and leveraging massive amounts of data, as well as the ability to process information at a much faster rate than humans Machine learning algorithms are designed to continually improve using input data, allowing them to better understand and solve complex problems Machines could also be able to process much larger amounts of data and information than humans can handle, enabling them to draw more accurate conclusions and solve problems at a much higher level of complexity Ultimately, this could lead to an era where machines are capable of making decisions and solving problems that were previously reserved for humans Are there risks to this? Yes, there are risks associated with the possibility of machines surpassing human cognitive abilities If machines become more intelligent than humans, they could potentially escape our control and make decisions that are not in our best interest or that could be harmful to humanity There are also concerns about the impact on employment and the economy, as well as the ability of machines to understand and integrate human cultural values and norms into their decisions It is important for AI researchers and developers to take these risks into account and work to develop responsible and ethical AI systems Governments and international organizations also have a role to play in establishing regulations and standards to guide the long-term development and use of AI 189 Chapter 18 Future Developments of ChatGPT  erging Possibilities Between ChatGPT M and Other Emerging Technologies The possibilities for merging ChatGPT with other emerging technologies are vast and diverse ChatGPT has already been integrated into many systems and applications to improve their efficiency and performance, particularly in the fields of automatic translation, data analysis, and voice recognition However, there are also opportunities for fusion with other emerging technologies such as virtual and augmented reality, robotics, and quantum computing Integrating ChatGPT into these areas could allow for more natural and seamless interactions between humans and machines, as well as more advanced and sophisticated natural language processing capabilities For example, integrating ChatGPT with virtual reality could enable more natural and immersive interaction in games and simulations, while integration with robotics could allow for more intuitive and flexible interactions with robots The use of quantum computing with ChatGPT could also enable higher natural language processing power and more advanced modeling capabilities for decision-making However, these fusion possibilities also raise concerns about security, ethics, and responsibility It is important for developers and users of these emerging technologies to consider these considerations in their design and use 190 Chapter 18 Future Developments of ChatGPT T he Challenges of Adopting and Accepting ChatGPT The adoption and acceptance of ChatGPT may face several challenges, including the following: • Lack of understanding: The general public may not understand the capabilities of ChatGPT and may confuse it with simpler automated dialogue systems Companies and governments may also struggle to understand how to integrate ChatGPT into their operations • Cost: Using ChatGPT can be costly due to the need for significant computing resources to train and maintain the models • Privacy and security: Processing large amounts of data can raise privacy and security concerns, especially if that data contains sensitive personal information • Ethics: The use of ChatGPT raises ethical concerns about the creation of fake information and the manipulation of public opinion Therefore, it is crucial to establish regulations and standards for the responsible use of ChatGPT • Technological dependence: Increasing dependence on technology can lead to a loss of manual skills and a decrease in problem-solving ability Moreover, the technology could be vulnerable to cyberattacks, which could have devastating consequences on systems and operations 191 Chapter 18 Future Developments of ChatGPT Ultimately, it is important to strike a balance between the benefits and risks of using ChatGPT to ensure responsible adoption and successful integration of this technology into our society Issues for Regulation and Governance of ChatGPT The challenges for the regulation and governance of ChatGPT are numerous and complex As previously mentioned, ChatGPT can have significant implications for society, employment, ethics, and security, which require appropriate regulation and governance to minimize risks and maximize benefits The main challenge for the regulation and governance of ChatGPT is to find a balance between innovation and security, taking into account the complexity and rapid evolution of the technology In addition, the regulation must be flexible to adapt to the different applications and uses of ChatGPT Another important issue is transparency and accountability in the use of ChatGPT. Developers must be transparent about how ChatGPT models are built and trained, as well as the data used for this purpose Users must also be informed of the limits and risks associated with the use of ChatGPT Furthermore, regulation must be put in place to ensure the confidentiality and security of data used to train ChatGPT models, as well as to protect copyright and intellectual property rights Finally, the governance of ChatGPT must be international and collaborative, as ChatGPT is a global technology that can have global impacts Governments, businesses, universities, and civil society organizations must work together to develop common regulations and standards for the use of ChatGPT 192 Chapter 18 Future Developments of ChatGPT Summary The future developments of ChatGPT are very promising and have the potential to transform many areas of society Advancements in machine learning and natural language processing allow for improved performance and efficiency for ChatGPT. This also opens the door to applications in new areas such as medicine, social sciences, arts, and much more However, it is important to consider ethical implications and regulations to ensure responsible use of ChatGPT. Finally, with the constant evolution of the AI market, it is important to keep up with competition developments to remain competitive and continue to innovate As the field continues to evolve, it is essential to consider the long-­ term prospects for ChatGPT and how it will shape the future of AI and cognitive systems ChatGPT’s capabilities have many potential implications for industry, research, medicine, education, and many other areas However, the adoption and acceptance of ChatGPT are not without challenges, particularly with regard to regulation and governance It is therefore crucial that governments, organizations, and researchers work together to develop ethical standards and regulations for the use of ChatGPT. Additionally, it is important to continue exploring the possibilities of integrating ChatGPT with other emerging technologies, while ensuring that this is done responsibly and ethically Future developments in ChatGPT offer many opportunities for the future of AI, but it is important to also consider the long-term implications for cognition and humanity as a whole 193 CHAPTER 19 Conclusion Welcome to the final chapter of this book on ChatGPT. We have come a long way since the beginning, exploring the technical aspects of this fascinating technology, reviewing its applications, and reflecting on its long-term implications for artificial intelligence and cognition In this final chapter, we will draw conclusions about the impact and significance of ChatGPT, as well as the opportunities and challenges that lie ahead for us in the future  ummaries of the Key Elements Covered S in the Book In this book, we have explored the many facets of ChatGPT, a state-of-the-­ art natural language model based on machine learning We have oseen how ChatGPT has revolutionized the way we interact with technology and how it has opened up many possibilities for the future of AI and natural language processing We have examined the various current uses of ChatGPT, including in content creation, translation, virtual assistance, and data analysis We have also addressed the implications of ChatGPT on employment, society, and governance We have explored the ethical and legal challenges associated with the use of ChatGPT, as well as regulations and standards that can help guide its responsible use © Eric Sarrion 2023 E Sarrion, Exploring the Power of ChatGPT, https://doi.org/10.1007/978-1-4842-9529-8_19 195 Chapter 19 Conclusion We have also discussed future developments of ChatGPT, including possible improvements in its performance and efficiency, as well as possible advances in the fields of medicine, content production automation, and data analysis Finally, we have looked at the long-term prospects for ChatGPT, including implications for AI and cognition, as well as challenges related to adoption and acceptance of the technology Overall, ChatGPT has opened up new possibilities for AI and natural language processing, but it is important that we approach the ethical, social, and legal implications of this rapidly evolving technology with caution By taking these considerations into account and working together to regulate and govern the use of ChatGPT, we can use this technology to improve our lives and society in the years to come F inal Thoughts on the Impact and Implications of ChatGPT The impact of ChatGPT on society and industry is significant, and its implications are vast and multidimensional On one hand, the use of ChatGPT offers considerable benefits, such as improvements in efficiency and productivity, as well as new opportunities for innovation and value creation On the other hand, there are important risks and challenges to be addressed, particularly in the areas of privacy protection, ethics, and governance We have seen that ChatGPT has the potential to transform many industry sectors, such as e-commerce, finance, healthcare, and research It can also be used to automate repetitive tasks and reduce costs for businesses However, it is important to recognize that ChatGPT may also contribute to job polarization and the elimination of low-skilled jobs 196 Chapter 19 Conclusion The use of ChatGPT also raises important ethical and legal issues, particularly with regard to privacy protection and regulation Future developments of ChatGPT are likely to have a significant impact on society, the economy, and technology Therefore, it is essential that we continue to reflect on the implications of ChatGPT and establish appropriate regulations and standards for its responsible use Collaboration between researchers, businesses, governments, and civil society is essential to ensure that the benefits of ChatGPT are maximized while minimizing risks and ensuring ethical and responsible use  uggestions for Future Research S and Development on ChatGPT For future research and development on ChatGPT, here are some suggestions: • Improve performance and efficiency: While ChatGPT has made significant progress in natural language processing, there are still areas where it can be improved Researchers can work on increasing the size and quality of datasets, developing new deep learning models, and improving network architectures • Deepen understanding of how ChatGPT works: While ChatGPT has been trained to learn from data, it is important to understand how the model makes decisions and generates responses Researchers can work on improving the transparency and interpretability of the model 197 Chapter 19 Conclusion • Explore new applications of ChatGPT: ChatGPT has already been used in many fields, but there are still opportunities to explore new applications, particularly in medicine, education, and finance • Evaluate impacts on society: Given the potential impact of ChatGPT on employment, privacy, and security, it is important to continue to evaluate the impacts of this technology on society • Strengthen governance and regulation: It is crucial to establish regulations and policies to ensure responsible use of ChatGPT and to protect the rights of users Researchers can work on developing standards and guidelines to guide the use of ChatGPT Overall, ChatGPT has the potential to revolutionize natural language processing and have a significant impact on society It is important to continue research and development on this technology while keeping in mind the ethical, social, and regulatory issues Considerations for the Ethical and Responsible Use of ChatGPT in the Future The ethical and responsible use of ChatGPT in the future is essential to avoid potential negative consequences of this technology It is important to ensure that the data used to train ChatGPT models is fair and representative of human diversity to avoid any form of discrimination or bias ChatGPT users must also be aware of the limits of this technology and not consider it as a source of absolute truth 198 Chapter 19 Conclusion It is also crucial to ensure that ChatGPT is used in a responsible and ethical manner, by ensuring the confidentiality and security of user data ChatGPT users must also be aware of the potential risks associated with manipulation and abusive use of this technology Finally, effective regulation and governance are needed to ensure responsible use of ChatGPT in the future Regulations must be established to protect users and ensure transparency, accountability, and reliability of ChatGPT models The governance of ChatGPT should involve collaboration between researchers, regulators, users, and advocacy groups to ensure that this technology is used ethically and responsibly for the benefit of humanity In Conclusion The development and emergence of ChatGPT have opened up endless possibilities in natural language processing and text generation In this book, we have explored the various facets of ChatGPT, including its workings, applications, and ethical implications We have also discussed the natural language processing techniques used by ChatGPT and the important parameters of its training It is worth noting that our exploration of the possibilities offered by artificial intelligence only scratches the surface of this rapidly evolving field Innovation and advancements in this domain promise even more impressive developments to come For instance, it is worth mentioning the existence of Meta's LLAMA, a powerful open-source Legal Language Model Architecture that utilizes the Jurassic algorithm, among other technologies These advancements showcase the wealth of opportunities presented by AI for content generation and open up exciting new prospects for online businesses 199 Chapter 19 Conclusion While the benefits of ChatGPT are numerous and promising, there are also challenges to be met, particularly in terms of regulation and governance It is important to ensure that the use of ChatGPT is ethical and responsible, while avoiding the biases and errors that can arise from it Ultimately, ChatGPT represents a real breakthrough in the way we interact with technology, especially in the field of natural language processing However, it is important that we remain vigilant in our use of this technology and continue to explore its advantages and disadvantages 200 Index A, B Application programming language (API), see OpenAI API Artificial intelligence (AI), 3, 62, 79, 129, 163, 188, 189, 199 Artistic content creation poetry, 159–163 song lyrics, 155–158 story generation, 163–170 Asilomar Conference, 87 C Chatbots, 5, 7, 17–18, 38, 39, 77, 78, 84 ChatGPT advantages, 15 application, 17–24 application domains, 6, biases and potential risks, 57, 65–70 computer programs (see Computer programs) contextualize/interpret outputs, 97 dataset, 13, 14 definition, development, 35, 181–192 (see also Development projects) digital divide, 80 education/professional training, 77, 78 employment, 74–76 environmental implications, 79 ethical/legal challenges, 195 ethical/responsible, 198, 199 evaluation methods, 57, 58 governance initiatives, 86, 87 history, human evaluation, 58 impact/implications, 196 information search, 22–24 innovation and creativity, 171–179 input data, 53 language learning, 117–127 legal/ethical responsibility, 88–90 limitations, 16 maintenance tools, 60, 61 neural network, 10, 11 performance, 58–60 © Eric Sarrion 2023 E Sarrion, Exploring the Power of ChatGPT, https://doi.org/10.1007/978-1-4842-9529-8 201 INDEX ChatGPT (cont.) perplexity, 57 personalization, 10 political and legal responses, 81 pre-training/training, 27–33 questions/answers, 93–96 recruitment, 129–136 regulations/laws, 83, 84 research/development, 197, 198 response quality, 58 social/cultural norms, 78 standards, 84, 85 techniques, 57, 58 text data, 13 text generation, 99–105 tips/best practices, 96 training, 9, 15 translating documents/ content, 107–116 turing test, 58 versions, ChatGPTAI-generated content, 97 Code generation excel, 150–153 web projects code modification, 147, 148 CSS source code, 142–145 HTML file, 140, 141, 145–147 JavaScript libraries, 148, 149 numeric characters, 142 programming languages, 148 source code, 140, 141 Computer programs, see Code generation 202 Content writing applications, 20–22 Continuous learning, 15, 182 D Development process adoption and acceptance, 191, 192 AI-generated content, 187 applications and domains, 184, 185 artificial intelligence/cognition, 188, 189 capabilities, 193 competition, 186 digital communications, 187, 188 emerging technologies, 190 long-term prospects, 188 machine learning/NLP, 181–183 performance and efficiency improvements, 183–185 regulation and governance, 192 Development projects applications, 37, 38 chatbots, 38 integration, 39 libraries/frameworks, 35–37 OpenAI API, 39–49 paid subscription plans, 50 TensorFlow, 36 voice interface, 50 Digital divide, 80 INDEX E, F Education (EduGPT), 77, 78 Emerging technologies, 188, 190, 193 Employment sector, 74–76 Environmental implications, 79 G, H General Data Protection Regulation (GDPR), 81, 84 Generative pre-trained transformer (GPT), see ChatGPT I, J, K Information and communication technologies (ICT), 80 Innovation/creativity insights/explanations across, 174–176 product design, 176–180 product information, 171–173 technologies, 172 Input data accurate/reliable results, 55 annotation, 55 cleaning/preprocessing data, 55 high-quality data, 55 strategies, 55 synthetic textual conversation, 54 training/learning data, 53 verification, 56 Integration, 80, 97, 182, 188, 190, 192 Interpretability, 90, 182, 197 L Language learning grammar errors correction, 124–127 verb conjugation, 120–124 vocabulary lists, 117–120 M Machine learning (ML), 7, 11, 14, 28, 31, 53, 181–183, 195 Machine translation apps, 18–20 Montreal declaration, 87 Multilingual models, 182 N Natural language processing (NLP), 3, 181–183, 195, See also ChatGPT attention, 12 embeddings, 11 language models, 12 techniques, 11, 12 tokenization technique, 11 Neural network, 3, 4, 9–12, 18, 30, 32 NLP, see Natural language processing (NLP) 203 INDEX O OpenAI API async/await methods, 45, 47 generateResponse() function, 43 governance initiatives, 86 HTML page, 48, 49 index.html file, 40–42 JavaScript, 39 parameters, 44, 45 reset() function, 43 P, Q Poetry generation, 159–163 Potential biases/risks, 65 bias, 65–68 consequences, 70 discrimination, 68, 69 foster collaboration, 67 mitigation, 66 privacy violations and risks, 70 resampling, 68 stigmatization, 68 transparency, 69 Pre-training/training model cleaning/encoding, 29 customization, 30, 31 data collection/ preparation, 28–30 fine-tuning, 28 labeled data, 27, 28 layer depth parameter, 30 204 learning rate parameter, 31 model size parameter, 30 splitting, 29 techniques, 32 tools, 31, 32 R Recruitment process, 129 interview template, 133–137 JavaScript language, 130 test generation, 129–133 S Social and cultural norms, 78 Song lyric generation, 155–158 Story generation, 163–170 T, U Text content generation marketing information, 99–101 product description, 101–103 summarization, 104–106 Text translation file translation, 111–116 languages transaction, 107–111 Textual deepfakes, 78 V, W, X, Y, Z Virtual assistants, see Chatbots

Ngày đăng: 28/08/2023, 06:40

TÀI LIỆU CÙNG NGƯỜI DÙNG

TÀI LIỆU LIÊN QUAN