Feinabstimmung eines Generativen Neuronalen Zielnetzes mit einem Verbesserten Generativen Neuronalen Netz

Details

Veröffentlichungs-Nr.

EP4722981

Anmeldetag

3. Oktober 2025

Veröffentlichung

8. April 2026

Rechtsraum

EP

Abstract

Methods, systems, and apparatuses, including computer programs encoded on computer storage media, for training a target generative neural network over a plurality of training iterations. At each iteration, a first data item is generated by processing a conditioning input using the target generative neural network. An improvement generative neural network then processes the first data item and the conditioning input to generate a second, preferred data item. A training example is generated that includes the first and second data items and indicates that the second data item is preferred over the first. The target generative neural network is then trained on this training example. By using this iterative process to dynamically generate preference data, the described techniques improve the performance of the generative neural network beyond the limitations of static, offline datasets without requiring computationally expensive reward models or external human annotation.

Anmelder

Firma

Google LLC

Land

🇺🇸 USA