Example of how to use LLMs to show weather predictions to a user.
| .vscode | ||
| scripts | ||
| .env.example | ||
| .gitignore | ||
| example-meteosource.json | ||
| Pipfile | ||
| Pipfile.lock | ||
| README.md | ||
| Using AI Models for Normalizing Human Output.ipynb | ||
Using AI Models for Normalizing Human Output
Getting started
Copy .env.example to .env and set the environment variables.
You can sign up for Meteosource here and you
can download the Airoboros LLM
by running git lfs clone https://huggingface.co/TheBloke/airoboros-l2-7B-gpt4-2.0-GGUF in
another directory.
Now install the package files with pipenv:
$ pipenv install
And run the notebook:
$ pipenv run jupyter notebook