How is Generative AI transforming the AI landscape?
How does a cloud data platform help in managing Gen AI projects?
What are the benefits and challenges of fine-tuning a pre-trained model?
What are the best practices for integrating LLM apps with existing data?
What motivates you to work in the field of Generative AI?
What is prompt engineering, and why is it important for Generative AI models?
What techniques are used for handling noisy or incomplete data?
Can you explain the concept of feature injection and its role in LLM workflows?
What challenges arise when scaling LLMs for large-scale usage?
How do you approach working with incomplete or ambiguous requirements?
Why is specialized hardware important for LLM applications, and how can it be allocated effectively?
What does "accelerating AI functions" mean, and why is it important?
How do you optimize LLMs for low-latency applications?
How can Generative AI create value for enterprises?
How does masking work in Transformer models?
