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What are some real-world applications of Generative AI?
What metrics do you use to evaluate the performance of a fine-tuned model?
What are the best practices for deploying Generative AI models in production?
How do you optimize LLMs for low-latency applications?
What challenges arise when scaling LLMs for large-scale usage?
How do you integrate Generative AI models with existing enterprise systems?
What is the role of containerization and orchestration in deploying LLMs?
What metrics are used to evaluate the quality of generative outputs?
How do you measure diversity and coherence in text generated by LLMs?
What is perplexity, and how does it relate to LLM performance?
How do you evaluate the impact of model updates on downstream applications?
How do foundation models support Generative AI systems?
What techniques can improve inference speed for LLMs?
How do you identify and mitigate bias in Generative AI models?
What is hallucination in LLMs, and how can it be controlled?
