What is the importance of attention mechanisms in LLMs?
What are Large Language Models (LLMs), and how do they relate to foundation models?
What are some real-world applications of Generative AI?
What is hallucination in LLMs, and how can it be controlled?
What is the most innovative Generative AI project you have contributed to?
How do you measure diversity and coherence in text generated by LLMs?
How can data governance be centralized in an LLM ecosystem?
How do you prepare and clean data for training a generative model?
How can LLMs be categorized?
What steps are involved in defining the use case and scope of an LLM project?
Can you explain the key technologies and principles behind LLMs?
Explain the concepts of pretraining and fine-tuning in LLMs.
What techniques can improve inference speed for LLMs?
What strategies can simplify LLM development and deployment?
Why is security and governance critical when managing LLM applications?