Embedded AI evaluators won’t be an easy solution, Hugging Face’s policy chief says
AI summary
Editorial policyIrene Solaiman, Hugging Face's chief policy officer, noted that while AI labs stake their reputations on model benchmarking, the evaluation methods are complex and still maturing.
Key points
- •AI labs have staked their reputations on model benchmarking, a system designed to measure whether one AI product is better than another.
- •Irene Solaiman stated during a TechCrunch discussion that the methods behind these evaluations are complicated.
- •The methods behind current model evaluations are still maturing.