A quick implementation of DeepMind's "LLMs as Optimizers" paper.
Feel free to download the notebook and play around with it. The code is pretty self-explanatory, but if you have any questions, feel free to reach out to me on Twitter.
- Clone the repo
- Set up a virtual environment ->
python3 -m venv env - Activate the virtual environment ->
source env/bin/activate - Install the requirements ->
pip install -r requirements.txt - Run the notebook (I just run in VSCode, but you can run it however you want)