How to Learn Unfamiliar Software Tools with ChatGPT

Here’s the latest installment in the series on working with LLMS: How to Learn Unfamiliar Software Tools with ChatGPT.

Ideally, tools like GeoGebra and Metabase provide interfaces so intuitive that you rarely need to read the docs, and you can learn the software just by poking around in it. In reality, of course, we need those docs — and they still need to be excellent. But now, we’ll extract a new benefit from them. When we can partner with machines that have read the docs, and can look over our shoulders as we try to do the things described in the docs, we’ll turbocharge our ability to dive into unfamiliar software tools and quickly learn how to use them.

The rest of the series:

1 When the rubber duck talks back

2 Radical just-in-time learning

3 Why LLM-assisted table transformation is a big deal

4 Using LLM-Assisted Coding to Write a Custom Template Function

5 Elevating the Conversation with LLM Assistants

6 How Large Language Models Assisted a Website Makeover

7 Should LLMs Write Marketing Copy?

8 Test-Driven Development with LLMs: Never Trust, Always Verify

9 Learning While Coding: How LLMs Teach You Implicitly

10 How LLMs Helped Me Build an ODBC Plugin for Steampipe

11 How to Use LLMs for Dynamic Documentation