使用大語(yǔ)言模型優(yōu)化傳統(tǒng)護(hù)膚品配方過(guò)程的前瞻性研究

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摘要：隨著人工智能技術(shù)的快速發(fā)展，生成式AI和大語(yǔ)言模型為護(hù)膚品行業(yè)提供了新的研發(fā)路徑。該文探討了其在提高傳統(tǒng)護(hù)膚品配方效率、降低成本、提升安全性方面的應(yīng)用潛力，并分析了基于這些技術(shù)的個(gè)性化護(hù)膚產(chǎn)品和制造過(guò)程創(chuàng)新的商業(yè)模式。

關(guān)鍵詞：大語(yǔ)言模型；生成式AI；護(hù)膚品配方；個(gè)性化護(hù)膚；新商業(yè)模式

doi：10.3969/J.ISSN.1672-7274.2024.11.002

中圖分類號(hào)：TP 18                 文獻(xiàn)標(biāo)志碼：A            文章編碼：1672-7274（2024）11-000-04

A Prospective Study on Optimizing the Traditional Skincare Formula Process Using a Big Language Model

RUAN Jing， KANG Zhankun， YUAN Zhile

（Beijing Chengchuang Technology Co.， Ltd.， Beijing 100000， China）

Abstract： With the rapid development of artificial intelligence technology， generative AI and big language models have provided new research and development paths for the skincare industry. This article explores its potential applications in improving the efficiency of traditional skincare formulas， reducing costs， and enhancing safety. It also discusses the business models for personalized skincare products and manufacturing process innovation based on these technologies.

Keywords： big language model; generative AI; skincare formula; personalized skincare; bew business model

0   引言

在當(dāng)今的護(hù)膚品行業(yè)中，消費(fèi)者對(duì)產(chǎn)品的性能、安全性和個(gè)性化需求日益增長(zhǎng)。（剩余4185字）