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What techniques are used for handling noisy or incomplete data?
What distinguishes general-purpose LLMs from task-specific and domain-specific LLMs?
What measures do you take to secure sensitive data during model training?
How can LLM hallucinations be identified and managed effectively?
How do you integrate Generative AI models with existing enterprise systems?
Can you explain the key technologies and principles behind LLMs?
What steps are involved in defining the use case and scope of an LLM project?
What is Generative AI, and how does it differ from traditional AI models?
Why is it essential to observe copyright laws in LLM applications?
How does multimodal AI enhance Generative AI applications?
How does transfer learning play a role in training LLMs?
How do you train a model for generating creative content, like poetry?
What are Large Language Models (LLMs), and how do they relate to foundation models?
What are prompt engineering techniques, and how can they improve LLM outputs?
How do you ensure collaboration between data scientists and software engineers?
