A Technology Forum session on the key concepts of building with large language models (LLMs), including how they work (input, encoder, decoder, output) and a breakdown of tokenization, embedding, and sequencing. A live demo shows how to adjust output using prompt engineering, parameters such as max tokens, Top P, and temperature, and retrieval-augmented generation (RAG).