Hub Contributions Ideas

We'd like to create more off-the-shelf code for people to get started with at hub.dagworks.io.

This task is for ideas on what people could contribute.

If you're looking for inspiration, here's some blogs/recipes/cookbooks:

* [openai cookbook](https://github.com/openai/openai-cookbook/tree/main)
* [rag based code](https://www.anyscale.com/blog/a-comprehensive-guide-for-building-rag-based-llm-applications-part-1)
* [machine learning and related bits from made with ML](https://madewithml.com/)
* [scikit learning examples](https://scikit-learn.org/stable/auto_examples/index.html#)
* [fine tuning LLMs](https://dagster.io/blog/finetuning-llms)
* processing google analytics data for a common analysis
* examples from other libraries, e.g. llamaindex, langchain, statsmodels, etc.

Note: if you cut and paste code from other places, please correctly attribute it according to that license.

No repository file, test, or implementation entry point is named. Start by reviewing hub.dagworks.io and the listed cookbook, RAG, fine-tuning, analytics, and library-example references; done would require a specific approved contribution idea with any reused code correctly attributed.

Written by the indexing model from the issue text.