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What steps are involved in defining the use case and scope of an LLM project?
What is a vector database, and how is it used in LLM applications?
How can governance be extended to all data types?
What motivates you to work in the field of Generative AI?
How do you identify and mitigate bias in Generative AI models?
What is perplexity, and how does it relate to LLM performance?
How do you ensure Generative AI outputs comply with copyright laws?
How do you communicate complex AI concepts to non-technical stakeholders?
Why is data governance critical in managing LLMs?
How does transfer learning play a role in training LLMs?
What strategies can alleviate biases in LLM outputs?
Can you explain reinforcement learning and its role in improving LLMs?
What are the challenges of working on cross-functional AI teams?
Which developer tools and frameworks are most commonly used with LLMs?
What are the best practices for integrating LLM apps with existing data?
