Right now this is running off of GPT-3 (`text-davinci-003`) and via a small code change can run on codex (`code-davinci-002`) but the quality only improves a little bit with that change.

That said, this is the first version to show that the interface is viable; we are currently working on training our own foundation model on a hybrid tokenization of data and word tokens. I hope to improve this same toolkit in the future with these new models of our own that we are training.

this seems to be using their gpt3 frameowrk: https://github.com/approximatelabs/lambdaprompt

which uses text-davinci-003 by default https://github.com/approximatelabs/lambdaprompt/blob/main/la...