DataRobot

APRIL 21, 2022

They are used for different applications, but nonetheless they suggest that the development in infrastructure (access to GPUs and TPUs for computing) and the development in deep learning theory has led to very large models. To illustrate the energy needed in deep learning, let’s make a comparison.

Green 145

Green Environment Metrics Measure 145

The AI Alignment Forum

FEBRUARY 7, 2025

Interpretability benchmarks: Wed like to support more benchmarks for interpretability research. A benchmark should consist of a set of tasks that good interpretability methods should be able to solve. Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark by Pan et al. by Liu et al.

Research 52

Research Fund Open Technique 52

The AI Alignment Forum

MARCH 28, 2025

In this episode, I speak with Jason Gross about his agenda to benchmark interpretability in this way, and his exploration of the intersection of proofs and modern machine learning. But maybe zooming out, the relevant comparison point here I think is not the number of parameters in the model. Jason Gross (01:36:39): Maybe.

Model 52

Model Network Train Training 52