This document is a companion to a short course on how [[large language model]]s, or LLMs, can improve productivity and creativity for many professionals. OpenAI's decision to make ChatGPT publicly available has positioned it as a standout success story in expanding user counts within the realm of online services. This path has been emulated by other AI laboratories. However, these systems lack comprehensive user documentation, with user guides being fragmented across blog posts and YouTube videos. The intention of this short course is to consolidate and distill this scattered information. ## Index - [[1 Machine Learning Basics]] - [[1 Machine Learning Basics#Concepts|Concepts]] - [[2 LLMs and Transformers]] - [[2 LLMs and Transformers#Concepts|Concepts]] - [[3 Instruction-Tuned LLM Systems]] - [[3 Instruction-Tuned LLM Systems#Systems|Systems]] - [[3 Instruction-Tuned LLM Systems#AI labs|AI labs]] - [[3 Instruction-Tuned LLM Systems#Procedures|Procedures]] - [[4 LLM Uses]] - [[4 LLM Uses#Uses|Uses]] - [[5 Prompting]] - [[5 Prompting#Concepts|Concepts]] - [[5 Prompting#Procedures|Procedures]] - [[5 Prompting#Examples|Examples]] - [[6 OpenAI API]] - [[6 OpenAI API#Concepts|Concepts]] - [[6 OpenAI API#Code|Code]] - [[6 OpenAI API#Examples|Examples]] - [[9 References]]