Un-Answered Questions { Software }

How can Generative AI create value for enterprises?

17


What are pretrained models, and how do they work?

12


What are the trade-offs between security and ease of use in Gen AI applications?

11


How does a cloud data platform help in managing Gen AI projects?

12


How can LLMs be categorized?

12


What distinguishes general-purpose LLMs from task-specific and domain-specific LLMs?

12


Can you explain the key technologies and principles behind LLMs?

12


What are vector embeddings, and why are they important in LLMs?

13


What key terms and concepts should one understand when working with LLMs?

24


Which developer tools and frameworks are most commonly used with LLMs?

12


Why is data governance critical in managing LLMs?

11


How can governance be extended to all data types?

14


What steps are involved in defining the use case and scope of an LLM project?

15


How can one select the right LLM for a specific project?

23


What factors should be considered when comparing small and large language models?

11