Generative Maschinenlernmodelle mit Gelernter Erzeugungsreihenfolge

Details

Veröffentlichungs-Nr.

EP4787232

Anmeldetag

30. Januar 2026

Veröffentlichung

5. August 2026

Rechtsraum

EP

IPC

G06N3/045, G06N3/047, G06N7/01

Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating sequences of network outputs using a generative machine learning model following a learned generation order. In one aspect, a method comprises receiving a network input and generating a sequence of network outputs using a generative model, the generating comprising, at each of a plurality of iterations: identifying a set of candidate positions for the iteration; determining uncertainty scores for each of the set of candidate positions using an uncertainty scoring neural network; selecting a position of the sequence of network outputs from the set of candidate positions using the uncertainty scores; and generating the network output at the selected position of the sequence of network outputs using the generative model.

Anmelder

Firma

GDM Holding LLC

Land

🇺🇸 USA

Fachgebiete