Klassifizierung von Inhaltssammlung unter Verwendung von Prozessüberwachung mit einem zur Schlussfolgerung Fähigen, Maschinengelernten Modell

Details

Veröffentlichungs-Nr.

EP4760541

Anmeldetag

11. Dezember 2025

Veröffentlichung

17. Juni 2026

Rechtsraum

EP

IPC

G06F16/906

Abstract

Described herein is an implementation of a classification of content collection using process supervision with a chain-of-thought reasoning capable machine-learned (ML) model. In an example aspect, a process supervision system includes processing circuitry and memory storing a content source of a ML model. The content source includes text-labeled content of a first type. The processing circuitry is configured to obtain a collection of multiple first-typed content items of the content source. The collection has text metadata associated therewith. The processing circuitry is further configured to produce supervised fine-tuning (SFT) queries regarding the collection based, at least in part, on one or more of the first-typed content items of the collection and/or the text metadata of the collection. The processing circuitry is still further configured to, based on the SFT queries, assemble a chain-of-thought reasoning request for submission to a chain-of-thought reasoning capable ML classifier.

Anmelder

Firma

Lemon Inc.

Land

🇰🇾 KY

Fachgebiete