Originally published at: Introduction to LLM Agents | NVIDIA Technical Blog
Consider a large language model (LLM) application that is designed to help financial analysts answer questions about the performance of a company. With a well-designed retrieval augmented generation (RAG) pipeline, analysts can answer questions like, “What was X corporation’s total revenue for FY 2022?” This information can be easily extracted from financial statements by a…