Changeflow GovPing Telecom & Technology Prediction Device Optimizes Language Model Lear...
Routine Notice Added Final

Prediction Device Optimizes Language Model Learning Epochs

Favicon for changeflow.com USPTO Patent Applications - AI & Computing (G06N)
Published
Detected
Email

Summary

NEC Corporation filed patent application US20260099713A1 for a prediction device that optimizes the number of learning epochs for language models. The device includes an acquisition unit to obtain calculation resource constraints and target language resource amounts, along with a prediction unit that forecasts epoch ranges to minimize learning loss.

What changed

NEC Corporation filed patent application US20260099713A1 for technology that predicts optimal epoch numbers in language model training. The prediction device acquires constraints on available calculation resources and target language resources, then references prior epoch data combinations to predict a range of epochs that minimizes learning loss.

This patent application applies to technology companies and AI developers working on language model training optimization. The invention addresses computational resource efficiency in machine learning by providing a method to predict when training should stop based on available resources. No compliance obligations are created by this publication.

What to do next

  1. Monitor for updates

Archived snapshot

Apr 11, 2026

GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.

← USPTO Patent Applications

PREDICTION DEVICE, PREDICTION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING PREDICTION PROGRAM FOR SUPPORTING DECISION MAKING

Application US20260099713A1 Kind: A1 Apr 09, 2026

Assignee

NEC Corporation

Inventors

Kosuke AKIMOTO, Masafumi Oyamada

Abstract

Provided is a technique for efficiently setting an appropriate number of epochs in learning of a language model. A prediction device includes an acquisition unit for acquiring a first pair including a calculation resource amount that is a constraint on a calculation resource amount used for learning processing of a language model and a target language resource amount that is a resource amount of an available target language, and a prediction unit for referring to a combination of a second pair and a second epoch number, and predicting a range of a first epoch number in which a loss in learning using the calculation resource amount and the target language resource amount included in the first pair becomes smaller.

CPC Classifications

G06N 3/084 G06F 9/5027

Filing Date

2025-09-24

Application No.

19338191

View original document →

Get daily alerts for USPTO Patent Applications - AI & Computing (G06N)

Daily digest delivered to your inbox.

Free. Unsubscribe anytime.

About this page

What is GovPing?

Every important government, regulator, and court update from around the world. One place. Real-time. Free. Our mission

What's from the agency?

Source document text, dates, docket IDs, and authority are extracted directly from USPTO.

What's AI-generated?

The summary, classification, recommended actions, deadlines, and penalty information are AI-generated from the original text and may contain errors. Always verify against the source document.

Last updated

Classification

Agency
USPTO
Published
April 9th, 2026
Instrument
Notice
Legal weight
Non-binding
Stage
Final
Change scope
Minor
Document ID
US20260099713A1

Who this affects

Applies to
Technology companies
Industry sector
5112 Software & Technology
Activity scope
Patent filing
Geographic scope
United States US

Taxonomy

Primary area
Intellectual Property
Operational domain
Legal
Topics
Artificial Intelligence

Get alerts for this source

We'll email you when USPTO Patent Applications - AI & Computing (G06N) publishes new changes.

Free. Unsubscribe anytime.

You're subscribed!