Using GPT-4 fine-tuning to generate data explorations(supersimple.io)

4 pointsby taivokasper2 anni fa1 comments

Using GPT-4 fine-tuning to generate data explorations

https://www.supersimple.io/blog/gpt-4-fine-tuning-early-access

1 comments

We (a small startup) have recently seen considerable success fine-tuning LLMs (primarily OpenAI models) to generate data explorations and reports based on user requests. We provide relevant details of data schema as input and expect the LLM to generate a response written in our custom domain-specific language, which we then convert into a UI exploration.

We've shared more details in a blog post: https://www.supersimple.io/blog/gpt-4-fine-tuning-early-acce...

I'm curious if anyone has explored similar approaches in other domains or perhaps used entirely different techniques within a similar context. Additionally, are there ways we could potentially streamline our own pipeline?