PyData Seattle 2023

Large language models have been making headlines for their state-of-the-art capabilities. Tools like ChatGPT are great for standard tasks, but how do you utilize the power of these models for more niche tasks that require more control, ease of automation, and customizability? In this talk, I'll explore the concept of prompt engineering and how it can be used to automate tasks using large language models and tools like LangChain. This tutorial is designed for people who work with data and often wish they could automate time-consuming tasks that are generally not worth creating separate complex ML pipelines for. I'll cover the basics of these models from a practical perspective without too much focus on the underlying technical details. I'll provide a step-by-step guide on how to approach automating a task and discuss the dos and don'ts of using large language models to help you avoid pitfalls. I'll also share tips and best practices to help you get started. By the end of this tutorial, you will better understand how to leverage large language models to automate your tasks in an efficient and controlled way.