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Automatization of Generating Product Descriptions With Neural Language Models
 Hrouda, Václav ; Kasner, Zdeněk (advisor) ; Helcl, Jindřich (referee)
Product descriptions are an important part of product presentation in e-commerce. This bachelor thesis explores the possibilities of using language models based on the Transformer architecture to generate product descrip- tions based on textual product information. Data from a real ecommerce store was used and three different approaches were tested during the work. Fine-tuning of the GPT2 small Czech model, using the Mistral model with the translation of its inputs and outputs into English and directly using Chat- GPT on the Czech data. A combination of automated metrics and human moderation was used to evaluate the generated texts. The result is a clear ranking of these approaches (ChatGPT, Mistral, GPT2 small Czech), with none proving sufficiently reliable for practical use.
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