This demo utilises two Large Language Models (LLMs); GPT-3.5 from OpenAI and PaLM 2 from Google. A LLM is a form of Artificial Intelligence (AI), built on a expansive dataset, predominantly scraped from the internet. The main uses for these models are to generate, complete and summarise text; with a multitude of other potential use cases. They work by, based on the initial text input, continually predicting the most likely next token or word to create meaningful responses, in most cases. When working with such models the more infomation you provide the tool the better the response, this is known as prompt-engineering.

These tools will generate different responses to prompts each time they are run, so if you don't like a response, rerun the same parameters and get a different essay. In the case of OpenAI's GPT-3, the LLM was also trained on data gathered prior to 2021, so may not have knowledge of current affairs past that cut off. Google Clouds PaLM 2 Model offers Multilinguality, Reasoning and Coding abilities, also coming in a variety of different sizes which allows it to be run on a variety of different machines; resulting in a highly versatile model.