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ADOBE INC. (20250124235). USING GENERATIVE ARTIFICIAL INTELLIGENCE TO EVALUATE FINE-TUNED LANGUAGE MODELS

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USING GENERATIVE ARTIFICIAL INTELLIGENCE TO EVALUATE FINE-TUNED LANGUAGE MODELS

Organization Name

ADOBE INC.

Inventor(s)

Victor Soares Bursztyn of Mountain View CA US

Xiang Chen of Palo Alto CA US

Vaishnavi Muppala of San Jose CA US

Uttaran Bhattacharya of Sunnyvale CA US

Tong Yu of Fremont CA US

Saayan Mitra of San Jose CA US

Ryan Rossi of San Jose CA US

Manas Garg of Fremont CA US

Kenneth George Russell of Mountain View CA US

Eunyee Koh of Sunnyvale CA US

Alexandru Ionut Hodorogea of San Francisco CA US

USING GENERATIVE ARTIFICIAL INTELLIGENCE TO EVALUATE FINE-TUNED LANGUAGE MODELS

This abstract first appeared for US patent application 20250124235 titled 'USING GENERATIVE ARTIFICIAL INTELLIGENCE TO EVALUATE FINE-TUNED LANGUAGE MODELS

Original Abstract Submitted

methods and systems are provided for using generative artificial intelligence to evaluate fine-tuned language models. in embodiments described herein, natural language text snippets are generated via a generative language model based on corresponding data. a language model is fine-tuned into a fine-tuned language model via a language model fine-tuning component using the natural language text snippets and the corresponding data as training data. independent natural language text snippets are generated via the generative language model based on the corresponding data. each independent natural language text snippet is different than each corresponding natural language text snippet. an evaluation metric of the fine-tuned language model is generated via an evaluation component based on the independent natural language text snippets and the corresponding data.

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