Prediction Device Optimizes Language Model Learning Epochs
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.
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Apr 11, 2026GovPing 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.
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
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