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The primary purpose of this book is to provide the average person with a comprehensive, 360-degree view of the Generative AI landscape.

It simplifies the material in a way that is suitable for both beginners and experts, enabling readers to understand everything they need to know about the topic and prepare for the future.

From foundational to cutting-edge, the book demystifies complex AI concepts in an easily understandable manner.

Even without a solid background in AI, readers will be able to grasp the most complex concepts.

The book answers many questions, including:

General knowledge

What is Generative AI?
How has AI evolved from the 1950s to the present day?
What are the most common foundational Generative AI models?
What are the differences between ChatGPT, Google Gemini, Claude, Mistral, LLaMA, Amazon Titan, Alibaba Tongyi Tingwu, and other Generative AI models?
What are the most common applications of Generative AI?

Our Economy

In what ways is the US leading the global AI industry, and why is China catching up very quickly?
How are the UK, Canada, Germany, France, Japan, South Korea, and other countries investing in AI?
What are the most common AI strategies and policies worldwide?
What are the current trends in Generative AI globally?
What is the relationship between AI, economy, and geopolitics?
How is the semiconductor industry shaping the future of Generative AI?

The Workforce

In what ways does AI automate tasks and transform jobs?
Will AI take over your job?
What are the predicted impacts of Generative AI on global GDP and personal income?
How is Generative AI used in healthcare, finance, marketing, education, retail, manufacturing, and other industries?
What are the most common myths about AI?

The Applications

What are the leading applications of Generative AI that you can start using today?
In what ways do AI-assisted platforms facilitate content creation, including writing, image generation, voice synthesis, and music composition, thereby enhancing creativity and productivity?

The Technology

How are generative AI models created?
What is the difference between \"symbolic AI\" and \"connectionist AI\"?
How are AI, machine learning, deep learning, and generative AI related?
What is supervised learning, unsupervised learning, and reinforcement learning?
What is autonomous generative AI and how is it different?

Your Productivity

How are costs for Generative AI services, like ChatGPT, Google Gemini, Claude, and similar platforms, calculated for regular users and developers?
What is \"tokenization,\" and how is it used in Generative AI?
How can you increase your productivity using Prompt Engineering?
What are the most advanced Prompt Engineering techniques?

Ethics, Regulation, and Security

How can AI wipe out humanity?
How is the Dead Internet Theory related to Generative AI?
Why is the Godfather of Deep Learning worried about the future?
How do figures like Elon Musk, Geoffrey Hinton, and Chomsky view the potential risks of Generative AI? Are their concerns valid?
What are the limitations and criticisms of current Generative AI technologies in terms of understanding and intelligence?
How are the United States, China, the EU, and the UK approaching AI regulation?
How is Generative AI harming the environment?
Should we be optimistic or pessimistic about the future of Generative AI?

Filled with interesting facts, statistics, demonstrations, criticisms, and answers to a multitude of questions, the book is a must-read for anyone interested in their future!

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