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How do you stay updated with the latest research in Generative AI?
How do AI agents function in orchestration, and why are they significant for LLM apps?
How do you balance innovation with practical business constraints?
Describe the Transformer architecture used in modern LLMs.
How do Generative AI models create synthetic data?
What are Large Language Models (LLMs), and how do they relate to foundation models?
How can latency be reduced in LLM-based applications?
What are the key elements to consider when creating user interfaces for LLM applications?
What tools do you use for managing Generative AI workflows?
How do you communicate complex AI concepts to non-technical stakeholders?
What are some best practices for crafting effective prompts?
How can governance be extended to all data types?
What are the risks of using open-source LLMs, and how can they be mitigated?
How do you design prompts for generating specific outputs?
How do you incorporate user feedback into Generative AI systems?
