Edge 446: Can AI Build AI Systems? Inside OpenAI's MLE-Bench
A new benchmark that evaluates machine learning engineering workflows in LLMs
Coding the engineering are one of the areas that has been at the frontiers of generative AI. One of the ultimate manifestations of this proposition is AI writing AI code. But how good is AI in traditional machine learning(ML) engineering tasks such as training or validation. This is the purpose of a new work proposed by OpenAI with MLE-Bench, a benchmark to evaluate AI agents in ML engineering tasks.
MLE-Bench is a new benchmark introduced by OpenAI to evaluate the performance of AI agents on complex machine learning engineering tasks. The benchmark is specifically designed to assess how well AI agents can perform real-world MLE work, such as training models, preparing datasets, and running experiments.