What are the privacy implications of using large datasets for Generative AI?
How would you design a domain-specific chatbot using LLMs?
What are the advantages of combining retrieval-based and generative models?
What techniques are used for handling noisy or incomplete data?
What are the key steps in building a chatbot using LLMs?
How do you communicate complex AI concepts to non-technical stakeholders?
How do generative adversarial networks (GANs) work?
What is context retrieval, and why is it important in LLM applications?
What are the key steps involved in fine-tuning language models?
Explain the concepts of pretraining and fine-tuning in LLMs.
How can organizations identify business problems suitable for Generative AI?
How will quantum computing impact Generative AI?
What are the differences between encoder-only, decoder-only, and encoder-decoder architectures?
How is Generative AI applied in music composition?
Can you explain the historical context of Generative AI and how it has evolved?