ChatGPT and DALL-E

• Titel: ChatGPT and DALL-E
• Titelzusatz: sell your creative thinking with AI
• Institutionen: AI Daily LLC, [Präsentator]
• Institutionen: Packt Publishing, [Verlag]
• Ausgabe: [First edition].
• Verlagsort: [Place of publication not identified]
• Verlag: Packt Publishing
• Jahr: 2023
• Umfang: 1 online resource (1 video file (1 hr., 36 min.))
• Illustrationen: sound, color.
• Fussnoten: "Published in May 2023.". - Online resource; title from title details screen (O'Reilly, viewed June 13, 2023)
• ISBN: 978-1-83508-666-7
• ISBN: 1-83508-666-7
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Instructional films
• Sach-SW: Nonfiction films
• Sach-SW: Internet videos
• K10plus-PPN: 1850983437
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4343643786
• Lokale URL Inst.: Zum Volltext

Abstract

In today's world, artificial intelligence (AI) is changing the way we create content. AI models like ChatGPT and DALL-E 2 are becoming increasingly sophisticated, enabling us to generate high-quality text and images at an unprecedented speed and scale. As a result, it's essential for creatives to understand how to leverage these tools effectively. In this course, you will learn the fundamentals of generative AI and how to use it ethically and responsibly. You will discover the strengths and limitations of these models and when to use them for content creation. You will also explore various applications of AI in the creative industries and the legal and ethical implications of using these tools. The course begins with an introduction to generative AI and an overview of popular models such as ChatGPT and DALL-E 2. You will then delve into the strengths and limitations of AI, including its ability to create content quickly, revise content, and break through creative block. You will also learn about the limitations of AI, including the finite nature of training data, issues of accuracy, plagiarism, and bias, and the need for human modification. By the end of the course, you will have a solid understanding of the role of AI in content creation and the ethical considerations that come with using these tools. You will be able to navigate the strengths and limitations of AI and make informed decisions about when and how to use it. What You Will Learn Navigate risks and limitations of AI Master prompt engineering techniques for quality output Understand key legal concepts for professional usage Address AI bias to improve creative work Develop AI guidelines for team best practices Embrace transparency for unique human perspective Audience This course is designed for creatives, marketers, and anyone interested in learning how to use generative AI tools for content creation. No prior experience with AI is required, as the course covers the fundamentals of AI and the capabilities and limitations of generative AI. However, a basic understanding of digital media tools and technology is recommended. You should also have access to a computer and a stable internet connection. About The Author AI Daily LLC: XCHAIN ANALYTICS LTD is a leading analyst and full-stack developer with expertise in Python and React. Their passion lies in discovering and promoting innovative ideas that are often overlooked in the hype-driven tech industry. With a focus on authenticity and practicality, XCHAIN ANALYTICS strives to share their knowledge and empower others through teaching. They believe in the power of continuous learning and experimentation and often find themselves exploring new ventures. However, they always return to teaching as their true calling, where they can put their ideas into action and help others effectively.