What are the key elements to consider when creating user interfaces for LLM applications?
How do AI agents function in orchestration, and why are they significant for LLM apps?
How do you ensure compatibility between Generative AI models and other AI systems?
How does a cloud data platform help in managing Gen AI projects?
What are the best practices for deploying Generative AI models in production?
How do you ensure that your LLM generates contextually accurate and meaningful outputs?
What are the risks of using open-source Generative AI models?
How do you design prompts for generating specific outputs?
How do you manage context across multiple turns in conversational AI?
How do foundation models support Generative AI systems?
What are prompt engineering techniques, and how can they improve LLM outputs?
How can Generative AI create value for enterprises?
What are the risks of using open-source LLMs, and how can they be mitigated?
How can governance be extended to all data types?
This list covers a wide spectrum of topics, ensuring readiness for interviews in Generative AI roles.
