Systeme und Verfahren zur Bereitstellung und Verwendung eines Skalierbaren Maschinenlernmodells

Details

Veröffentlichungs-Nr.

EP4800607

Anmeldetag

26. Februar 2025

Veröffentlichung

2. September 2026

Rechtsraum

EP

Abstract

Methods 4000, 5000 for providing and using a scalable machine learning model 20 for performing application task(s) 121, 122, 123 are provided. A primary machine learning model 10, comprising a plurality of model parameters 11, 12, 13, is trained on training data. A secondary machine learning model 21, a subset of the primary machine learning model, is provided to serve as a substitute. The primary and secondary machine learning models are jointly trained by computing outputs for the one or more application tasks of the primary machine learning model for the training data, and computing, based on the outputs and the training data, a first loss for the primary machine learning model; analogously computing a second loss for the secondary machine learning model; combining the first and second losses; and updating the plurality of model parameters of the primary and thereby those of the second machine learning model accordingly. The jointly trained models are then provided as scalable machine learning model.

Anmelder

Firma

Robert Bosch GmbH

Land

🇩🇪 Deutschland