Exploring the Power of ChatGPT
Applications, Techniques, and Implications
Eric Sarrion
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Naturwissenschaften, Medizin, Informatik, Technik / Informatik
Beschreibung
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 potentialbiases 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.
What You Will Learn
- 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
Who This Book Is For
Software developers and professionals, researchers, students, and people interested in learning more about this field and the future of technology.
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Schlagwörter
Fine-tuning, Machine Learning, Chatbots, Language Models, OpenAI, ChatGPT, Artificial Intelligence (AI), Text Generation, Deep Learning, Natural Language Processing