01 / evaluation
Most importantly, it's based on information gains. So the way the way we pick the next pair that should occur in the tournaments is based on how much we will learn from these models going head to head.
“Most importantly, it's based on information gains. So the way the way we pick the next pair that should occur in the tournaments is based on how much we will learn from these models going head to head.”
- Speaker
- Nora Petrova
- Episode
- Are AI Benchmarks Telling The Full Story? [SPONSORED] (Andrew Gordon and Nora Petrova - Prolific)
- Publisher
- Machine Learning Street Talk