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In a Generative Adversarial Network (GAN), you have a network that evaluates whether the data generated by the other network is real or fake. What is this evaluating network
called?
See the explanation below.
In Transformer models, you have a mechanism that allows the model to weigh the importance of each element in the input sequence based on its context.
What is this mechanism called?
See the explanation below.
A legal team is assessing the ethical issues related to Generative Al.
What is a significant ethical issue they should consider?
See the explanation below.
When assessing the ethical issues related to Generative AI, a legal team should consider copyright and legal exposure as a significant concern. Generative AI has the capability to produce new content that could potentially infringe on existing copyrights or intellectual property rights. This raises complex legal questions about the ownership of AI-generated content and the liability for any copyright infringement that may occur as a result of using Generative AI systems.
Improved customer service (Option OA), enhanced creativity (Option OB), and increased productivity (Option OC) are generally viewed as benefits of Generative AI rather than ethical issues. Therefore, the correct answer is D. Copyright and legal exposure, as it pertains to the ethical and legal challenges that must be navigated when implementing Generative AI technologies.
You are developing a new Al model that involves two neural networks working together in a competitive setting to generate new data.
What is this model called?
See the explanation below.
A company is developing an Al strategy.
What is a crucial part of any Al strategy?
See the explanation below.
Data management is a critical component of any AI strategy. It involves the organization, storage, and maintenance of data in a way that ensures its quality, security, and accessibility for AI systems. Effective data management is essential because AI models rely on data to learn and make predictions. Without well-managed data, AI systems cannot function correctly or efficiently.
While marketing (Option OA), customer service (Option OB), and product design (Option OD) are important aspects of a business that can be enhanced by AI, they are not as foundational to the AI strategy itself as data management. Therefore, the correct answer is C. Data management, as it is crucial for the development and implementation of AI systems.
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