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What is Generative AI, and why is it significant in modern enterprises?
Can you explain the historical context of Generative AI and how it has evolved?
What are Large Language Models (LLMs), and how do they relate to foundation models?
How is Generative AI transforming the AI landscape?
What does "accelerating AI functions" mean, and why is it important?
Why is data considered crucial in AI projects?
How can Generative AI create value for enterprises?
What are pretrained models, and how do they work?
What are the trade-offs between security and ease of use in Gen AI applications?
How does a cloud data platform help in managing Gen AI projects?
How can LLMs be categorized?
What distinguishes general-purpose LLMs from task-specific and domain-specific LLMs?
Can you explain the key technologies and principles behind LLMs?
What are vector embeddings, and why are they important in LLMs?
What key terms and concepts should one understand when working with LLMs?
