The latter part of the data provides instructions on setting up and running a Python environment using conda, specifically for the 'evals' project. It also includes steps for running redis for temporary caching, which helps in re-running fetch code without re-fetching identical prompts. Lastly, it provides a command to fetch the latest results for all models.
Key takeaways:
- The safety evaluation results for LLM are now hosted at Evals.gg.
- The results include a bar chart for the evaluation conducted on April 28, 2024.
- The setup process involves creating a new environment with Python 3.12 using conda and activating it.
- Redis is used for temporary caching to avoid re-fetching identical prompts and the fetch code can be rerun without re-fetching.