ZenCoder - Convert your scripts into MLOps pipelines

One of the first jobs of somebody entering MLOps is to convert their manual scripts or notebooks into pipelines that can be deployed on the cloud. This job is tedious and can take time. Frameworks like ZenML go a long way in alleviating this burden by abstracting much of the complexity away. However, recent advancements in Large Language Model-based Copilots offer hope that even more repetitive aspects of this task can be automated.

Unfortunately, most open source or proprietary models like GitHub Copilot are often lagging behind the most recent versions of ML libraries, therefore giving erroneous our outdated syntax when asked simple commands.

This project aims to fine-tune an open-source LLM that performs better than off-the-shelf solutions in giving the right output for the latest version of ZenML. Just to make it a bit more fun, we’re going to be building ZenML pipelines to achieve this task! That way we write ZenML pipelines to train a model that can produce ZenML pipelines 🐍! Sounds fun!