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?
How do you ensure Generative AI outputs comply with copyright laws?
What are the privacy implications of using large datasets for Generative AI?
How do you balance transparency and performance in Generative AI systems?
How do Generative AI models create synthetic data?
What are the key steps in building a chatbot using LLMs?
How can Generative AI be used for text summarization?