My playground to implement LLM related code and components.
NOTE: this project uses
uv
to manage the python environment and dependencies.
Differently from other data science template projects out there, I deliberately don't use data
, models
, reports
directories under version control.
I don't think these artifacts should be in the code repository, but rather in dedicated object stores.
To create the python environment and install the project dependencies, enter the directory you created the project and run
make deps
Apart from the creation of the python environment, make deps
will also initialize this project as a git
repository and setup pre-commit
hooks.
Run make help
to see other make tasks available.
Make sure you activate the correct environment before executing any script/notebook.
uv run python <your-cli.py> [PARAMS]