This talk will describe the high-level process of custom LLM dataset creation and fine-tuning, a process that embeds information within the model itself.  We will also cover the use of vector databases, which are used in Retrieval-augmented generation (RAG), a process that uses LLMs to access information that is not trained within the model.  Through this talk participants will learn about the latest technology for multi-modal (image and text) LLMs models, how vector databases are used, and how RAG might be used within their domain.