What are the risks of using open-source LLMs, and how can they be mitigated?
How can organizations identify business problems suitable for Generative AI?
Why is it essential to observe copyright laws in LLM applications?
How do you incorporate user feedback into Generative AI systems?
How do you train a model for generating creative content, like poetry?
What are vector embeddings, and why are they important in LLMs?
What are the differences between encoder-only, decoder-only, and encoder-decoder architectures?
What factors should be considered when selecting a data platform for Generative AI?
What are the trade-offs between security and ease of use in Gen AI applications?
Can you explain the historical context of Generative AI and how it has evolved?
What is a Large Language Model (LLM), and how does it work?
How do foundation models support Generative AI systems?
How do you design prompts for generating specific outputs?
What key terms and concepts should one understand when working with LLMs?
What techniques are used in Generative AI for image generation?