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Can you explain the historical context of Generative AI and how it has evolved?
Why is data governance critical in managing LLMs?
How do you ensure compliance with industry regulations in AI projects?
What distinguishes general-purpose LLMs from task-specific and domain-specific LLMs?
What are some best practices for crafting effective prompts?
What are Large Language Models (LLMs), and how do they relate to foundation models?
How can one select the right LLM for a specific project?
What is Generative AI, and how does it differ from traditional AI models?
What is context retrieval, and why is it important in LLM applications?
Which developer tools and frameworks are most commonly used with LLMs?
How can latency be reduced in LLM-based applications?
Why is building a strong data foundation crucial for Generative AI initiatives?
How is Generative AI transforming the AI landscape?
What is the role of multi-agent systems in Generative AI?
Can you explain the key technologies and principles behind LLMs?
