IDEAS CONECTADAS
Atlas de conocimiento
Explora personas, perspectivas y sus fuentes originales.
1 personas · 1 fuentes · 1 opiniones expresadas
EN CONTEXTO
RE-Bench AI agent evaluation methodology
Elige una perspectiva y vuelve a la conversación original.
RE-Bench evaluates AI agents on realistic ML engineering tasks, using human performance as a benchmark
Los sectores iguales orientan la lectura, no indican una clasificación.
Perspectivas 1–1 de 1 · Fuentes más recientes primero
Perspectiva seleccionada
RE-Bench evaluates AI agents on realistic ML engineering tasks, using human performance as a benchmark
RE-Bench evaluates frontier AI agents on 7 open-ended ML research-engineering environments, each defined by a scoring function, starting solution, and reference solution, runnable with 8 or fewer H100 GPUs. It includes data from 71 eight-hour attempts by 61 distinct human experts, where humans achieved non-zero scores in 82% of attempts and matched or exceeded strong reference solutions in 24%.
Estas son perspectivas individuales, no una medida de consenso. El material fuente permanece en su idioma original.
Evidencia a favor
Extracto original
RE-Bench : evaluate frontier AI agents on realistic ML research-engineering envs against human experts. 7 challenging, open-ended ML research-engineering environments.
Contexto
Each environment = (scoring function, starting solution, reference solution); each can be run with 8 or fewer H100 GPUs. Examples: optimize a kernel, run a scaling-law experiment, fix an embedding, fine-tune GPT-2 for QA, etc. Includes data from 71 eight-hour attempts by 61 distinct human experts. Human experts achieved non-zero score in 82% of 8-hour attempts; 24% matched or exceeded strong reference solutions. Best AI agents scored 4× higher than humans at a 2-hour budget, but humans had better returns to longer budgets and exceeded agents at 8-hour and 32-hour settings.
Las fechas corresponden a las fuentes, no a cambios de opinión. Los textos sin traducción revisada se mantienen en su idioma original.