Training compute thresholds - Key considerations for the EU AI Act

This report provides an in-depth analysis of the concept of cumulative compute as a proxy for general-purpose AI (GPAI) model capabilities, with a focus on measuring and verifying training compute, defined as the computational resources used to train a model, measured in floating-point operations (FLOP). It presents two approaches to estimating training compute, namely hardware-based and parameter-based methods, and discusses their strengths and limitations, including the challenges of estimating training compute for complex architectures and t

Source: op.europa.eu