Artificial Intelligence and Large Language Models Questions

Practical understanding of artificial intelligence and large language models as tools to improve operational efficiency. Topics include common use cases such as document automation customer support augmentation knowledge retrieval semantic search and workflow automation; engineering and product considerations such as prompt engineering evaluation metrics mitigation of hallucinations privacy and data governance and integration with existing systems; and deployment considerations such as latency cost monitoring and measurable business impact. Candidates should be able to discuss trade offs, pilot design, evaluation approaches and governance controls for deploying these technologies.