This GitHub repository directory contains resources for evaluating Large Language Models (LLMs), including a Jupyter Notebook demonstrating how to use LLM Arena as a judge and a Python script for the same purpose. It also includes a README file with instructions on how to view the notebook if it doesn't render correctly on GitHub.
This GitHub repository contains information on fine-tuning large language models (LLMs).
It includes a Jupyter Notebook file named "7 Steps to Fine-Tune LLMs.ipynb" that outlines the process.
Users can find information on setting up the environment, preparing data, fine-tuning models, evaluating performance, and saving fine-tuned models.
It includes a Jupyter Notebook file named "7 Steps to Fine-Tune LLMs.ipynb" that outlines the process.
Users can find information on setting up the environment, preparing data, fine-tuning models, evaluating performance, and saving fine-tuned models.
