One of the most important use cases of large language models like GPT-4o is providing natural language interfaces to other software. That is, rather than pointing and clicking or typing commands, the user writes sentences describing what they want to do. This principle is the basis of AI agents, and is gradually making its way into traditional software too.
In this session, Richie, a Senior Data Evangelist at DataCamp, shows you how to use the function calling features in the OpenAI API and GPT-4o to create a simple AI assistant that has a natural language interface.
Presenter Bio
Richie CottonData Evangelist at DataCamp
Richie helps individuals and organizations get better at using data and AI. He's been a data scientist since before it was called data science, and has written two books and created many DataCamp courses on the subject. He is a host of the DataFramed podcast, and runs DataCamp's webinar program.
