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Un-Answered Questions { Generative AI }

What are Large Language Models (LLMs), and how do they relate to foundation models?

145


What does "accelerating AI functions" mean, and why is it important?

133


Why is data considered crucial in AI projects?

128


What are pretrained models, and how do they work?

112


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

130


What is Generative AI, and how does it differ from traditional AI models?

128


What is prompt engineering, and why is it important for Generative AI models?

140


What are the best practices for deploying Generative AI models in production?

125


How do you integrate Generative AI models with existing enterprise systems?

124


How do you identify and mitigate bias in Generative AI models?

133


How do Generative AI models create synthetic data?

133


What are the ethical considerations in deploying Generative AI solutions?

117


How do you ensure compatibility between Generative AI models and other AI systems?

106


What are the risks of using open-source Generative AI models?

126


What tools do you use for managing Generative AI workflows?

123