ChatGPT &
the Enterprise

While OpenAI’s ChatGPT, Microsoft’s Bing, and Google’s Bard have received a lot of public attention in the past months, it is important to remember that they are specific products built on top of a class of technologies called Large Language Models (LLMs). 

The most accessible way of using these products requires typing or pasting text into their respective input boxes and reading or copying their responses. Only some of these products offer programmatic interfaces, meaning they cannot be “plugged into” other enterprise data systems or processes. This enterprise-level use of this technology will be the focus of this document.

Using an LLM in the enterprise, beyond the simple web interface provided by products like ChatGPT, can be done in one of two ways:

1. Making an API call to a model provided as a service, such as the GPT-3 models provided by OpenAI. 
2. Downloading and running an open-source model in an environment that you manage. 

Dataiku supports the two approaches for using LLMs described above while also providing the broader framework necessary for using them, including data connectors, data preparation capabilities, automation, and governance features. 

Dataiku’s core vision has been to allow enterprises to quickly integrate the latest machine learning models and neural networks into their operations, and that continues with LLMs.