Price: $11.49
(as of Dec 17,2024 17:24:52 UTC – Details)
ASIN : B0DDGZ8YVF
Publisher : Harmony A Colorist, LLC (August 12, 2024)
Language : English
Paperback : 230 pages
ISBN-13 : 979-8894620060
Reading age : 12 – 18 years
Item Weight : 14.4 ounces
Dimensions : 6 x 0.52 x 9 inches
Customers say
Customers find the book provides a clear and accessible starting point for understanding artificial intelligence. They find it well-written and easy to read, with an engaging structure that keeps them interested throughout. The author’s explanations are excellent and make the ideas digestible for beginners.
AI-generated from the text of customer reviews
Generative AI, also known as generative adversarial networks (GANs), is a cutting-edge technology that has the potential to revolutionize various industries, from art and design to healthcare and finance. However, understanding the fundamental concepts behind generative AI can be daunting for beginners. In this comprehensive guide, we will break down the key concepts of generative AI in a step-by-step manner, providing practical applications and exploring the ethical and societal impacts of this powerful technology.
1. What is Generative AI?
Generative AI is a type of artificial intelligence that is capable of generating new, original content based on patterns and data it has learned from. Unlike traditional AI models that are trained to perform specific tasks, generative AI can create entirely new data, such as images, text, and even music, that closely resemble the input data it has been trained on.
2. How Does Generative AI Work?
Generative AI works by using two neural networks – a generator and a discriminator – that are trained in a competitive manner. The generator generates new data, while the discriminator evaluates the authenticity of the generated data. Through this process of competition and feedback, the generator learns to create increasingly realistic and convincing outputs.
3. Practical Applications of Generative AI
Generative AI has a wide range of practical applications across various industries. In art and design, generative AI can be used to create unique and innovative designs. In healthcare, it can be used to generate synthetic data for medical research and drug discovery. In finance, it can be used to generate realistic market simulations for risk analysis and trading strategies.
4. Ethical and Societal Impacts
While generative AI holds great promise, it also raises ethical and societal concerns. For example, the technology can be used to create deepfakes – highly realistic fake videos and images that can be used for malicious purposes. Additionally, generative AI raises questions about copyright and ownership of generated content, as well as biases and fairness in the data used to train the models.
In conclusion, generative AI is a powerful and exciting technology with the potential to transform industries and society as a whole. By understanding the fundamental concepts behind generative AI and considering its practical applications and ethical implications, beginners can gain a comprehensive understanding of this cutting-edge technology and its impacts on the world around us.
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