May 1, 2024
3 minute read
Generative AI Models are a subcategory of Artificial Intelligence (AI) capable of generating new data from scratch, such as text, images, or music, in a way that is similar to how a human would create them. Generative AI Models are most commonly used for creating new artworks, developing software, designing new products, and accelerating drug discovery.
What Are Generative AI Models?
Generative AI are a type of AI that use unsupervised learning, which means they learn patterns from data without being explicitly programmed. They are trained on large datasets and can generate new data that is similar to the data they were trained on. Generative AI models are used for a variety of tasks, including:
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Find a path to becoming a Generative AI Models. Learn more at:
OpenCourser.com/topic/kmff24/generative
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Generative AI Models.
More advanced treatment of generative AI models, covering the mathematical foundations of the field and the latest research results. It is written by two of the leading researchers in the field, and it is suitable for readers with a strong background in AI.
Great introduction to generative AI models, covering the basics of how they work and how they can be used. It is written in a clear and concise style, and it is suitable for readers with no prior knowledge of AI.
Philosophical perspective on generative AI models, covering the ethical issues that they raise. It is written by two philosophers who have worked on the ethics of AI, and it is suitable for readers with a general interest in AI.
Is an economic perspective on generative AI models, covering the economic impact that they will have. It is written by two economists who have worked on the economics of AI, and it is suitable for readers with a general interest in AI.
Legal perspective on generative AI models, covering the legal issues that they raise. It is written by two lawyers who have worked on the law of AI, and it is suitable for readers with a general interest in AI.
Look at the future of generative AI models, covering how they will change the world. It is written by two of the leading researchers in the field, and it is suitable for readers with a general interest in AI.
Guide to generative AI models for musicians, covering how to use them to create music. It is written by two musicians who have used generative AI models to create their own music, and it is suitable for readers with no prior knowledge of AI.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/kmff24/generative
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