How do generative adversarial networks (GANs) work?
What metrics do you use to evaluate the performance of a fine-tuned model?
How would you adapt a pre-trained model to a domain-specific task?
How do you incorporate user feedback into Generative AI systems?
How can latency be reduced in LLM-based applications?
What is a vector database, and how is it used in LLM applications?
How does learning from context enhance the performance of LLMs?
How do you ensure compliance with industry regulations in AI projects?
What is perplexity, and how does it relate to LLM performance?
Describe the Transformer architecture used in modern LLMs.
What are the key steps involved in deploying LLM applications into containers?
What is context retrieval, and why is it important in LLM applications?
What are the challenges of using large datasets in LLM training?
What techniques are used in Generative AI for image generation?
What are some best practices for crafting effective prompts?