Название: AI Revolution: Mastering AI for Personal and Organizational Growth
Автор: Tero Ojanperä
Издательство: River Publishers
Год: 2024
Страниц: 181
Язык: английский
Формат: pdf (true), epub
Размер: 56.0 MB

“The AI Revolution” is a practical guide to using new AI tools, such as ChatGPT, DALLE and Midjourney. Learn how to multiply your productivity by guiding or prompting AI in various ways. The book also introduces Microsoft Copilot, Google Bard, and Adobe Photoshop Generative Fill, among other new applications.

ChatGPT reached a hundred million users in just two months after its release, faster than any other application before. This marked the advent of the generative AI era. Generative AI models generate text, images, music, videos, and even 3D models in ways previously thought impossible for machines. The book explains in an understandable manner how these AI models work.

The book provides examples of how AI increases productivity, which professions are changing or disappearing, and how job markets will evolve in the coming years. With this book, you'll learn to recognize the opportunities and risks AI offers. Understand what this change demands from individuals and companies and what strategic skills are required. The book also covers legal questions caused by generative AI, like copyrights, data protection, and AI regulation.

It also ponders societal impacts. AI produces content, thus influencing language, culture, and even worldviews. Therefore, it’s crucial to understand by whom and how AI is trained. The AI revolution started by ChatGPT is just the beginning. This handbook is for you if you want to keep up with the rapid development of AI. “The AI Revolution” is a practical guide to using new AI tools, such as ChatGPT. Generative AI models produce text, images, music, videos, and even 3D models in a way that was previously believed to be impossible for machines.

GitHub Copilot, based on OpenAI’s generative AI model Codex, significantly improved programmers’ performance. According to the study, programmers who had access to Copilot completed tasks over 50% faster than those who did not use the tool. Less experienced programmers, older programmers, and those who program for several hours a day benefited the most from the tool.

Productivity in software work increases significantly when language models are integrated into software development environments. This way, they become part of the programmer’s toolkit. At the same time, the threshold for adoption decreases, and thus people without industry training can program. Similarly, even with minimal programming skills, it is possible to perform considerably more complex programming tasks. The development of generative artificial intelligence will ultimately lead to programming being done with natural language commands. In this case, a person says what they want, and the machine performs the actual programming. And productivity multiplies.




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