Who watches the watchers? LLM on LLM evaluations
Using large language models (LLMs) to evaluate their own outputs is surprisingly effective and more scalable than human evaluation.
MAIN POINTS
- LLMs can effectively judge their own outputs.
- This method scales better than human evaluation.
- The approach is likened to the fox guarding the henhouse.
- Despite initial skepticism, the method proves successful.
TAKEAWAYS
- LLM self-evaluation is efficient and scalable.
- Initial doubts about LLM self-assessment are unfounded.
- Human evaluators are less scalable than LLMs.
- The analogy of the fox and henhouse highlights initial skepticism.