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i am a non IT student. answer to the question like why do want to enter to the software line?
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How does the bias in training data affect the performance of AI models?
Tell me what are the last machine learning papers you've read?
What are the advantages of low-power AI models?
What are the advantages of running AI models on IoT devices?
How do you measure fairness in an AI model?
What does "accelerating AI functions" mean, and why is it important?
Can you explain how AI is used in predictive maintenance for industrial equipment?
What are the risks of using open-source Generative AI models?
What are the challenges in applying AI to environmental issues?
What tools do you use for managing Generative AI workflows?
What are pretrained models, and how do they work?
What techniques can improve the explainability of AI models?
Explain how AI models predict stock market trends.
How do domain-specific requirements affect AI system design?
What are Large Language Models (LLMs), and how do they relate to foundation models?
