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What is data structure? And what are the different types of data structures supported in r programming?
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What is prompt engineering, and why is it important for Generative AI models?
Explain the risks of adversarial attacks on AI models.
What are some techniques for developing low-power AI models?
Do you have research experience in machine learning?
What is your understanding of the different types of cloud-based machine learning services?
How does human feedback improve AI models?
Why is it important to address bias in AI models?
What are the advantages of running AI models on IoT devices?
What are standardization and normalisation? Give one advantage of each over the other?
How do Generative AI models create synthetic data?
What are the ethical considerations in deploying Generative AI solutions?
What techniques can be used to make AI models more fair?
How do you approach deployment of AI models?
What are the advantages of low-power AI models?
How is AI used in procedural content generation?
