Use Zeno to visualize the results of OpenAI Evals.
https://user-images.githubusercontent.com/4563691/225655166-9fd82784-cf35-47c1-8306-96178cdad7c1.mov
Example using zeno-evals to explore the results of an OpenAI eval on multiple choice medicine questions (MedMCQA)
pip install zeno-evals
Run an evaluation following the evals instructions. This will produce a cache file in /tmp/evallogs/.
Pass this file to the zeno-evals command:
zeno-evals /tmp/evallogs/my_eval_cache.jsonl
Single example looking at US tort law questions:
zeno-evals ./examples/example.jsonl
And an example of comparison between two models:
zeno-evals ./examples/crossword-turbo.jsonl --second-results-file ./examples/crossword-turbo-0301.jsonl
And lastly, we can pass additional Zeno functions to provide more context to the results:
pip install wordfreq
zeno-evals ./examples/crossword-turbo.jsonl --second-results-file ./examples/crossword-turbo-0301.jsonl --functions_file ./examples/crossword_fns.py
FAQs
Visualize OpenAI evals with Zeno
We found that zeno-evals demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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