How do you ensure that your LLM generates contextually accurate and meaningful outputs?
What is Generative AI, and how does it differ from traditional AI models?
How would you design a domain-specific chatbot using LLMs?
How do you ensure Generative AI outputs comply with copyright laws?
What are some real-world applications of Generative AI?
What factors should be considered when selecting a data platform for Generative AI?
How do you prepare and clean data for training a generative model?
What are the applications of Generative AI in finance?
How can governance be extended to all data types?
Why is data considered crucial in AI projects?
What factors should be considered when comparing small and large language models?
Explain the concepts of pretraining and fine-tuning in LLMs.
How can organizations create a culture of collaboration around Generative AI projects?
How do foundation models support Generative AI systems?
What are the best practices for integrating LLM apps with existing data?
