Building AI Applications with Large Language Models

Building AI applications isn't as daunting as it sounds. The process typically involves creating a user interface that connects to a library or framework, which then interacts with an API provided by a large language model (LLM) provider. There are three primary patterns for implementing AI applications: basic prompting, retrieval augmented generation (RAG), and AI agents. Basic prompting uses direct questions and instructions, RAG leverages vector databases for context-aware responses, and AI agents use tools and frameworks to dynamically plan and provide answers.