Solutions for e-commerce localization applications
Seed-X-7B is specially optimized for cross-border e-commerce scenarios, and can efficiently process multiple types of content, such as product descriptions, user reviews, and customer service conversations. In actual deployment, the model can batch convert English product pages into 28 target languages, with an average processing speed of 1,200 tokens/second (H100 single card), and maintain accurate translation of specification parameters (e.g., 'USB-C to Lightning'), marketing terms (e.g., ' buy one get one free').
A/B tests on an international e-commerce platform showed that after using Seed-X-7B to translate Spanish product pages, the conversion rate increased by 17.31 TP3T, and the proportion of bad reviews due to translation errors decreased from 6.81 TP3T to 1.21 TP3T. The model's unique domain adaptive capability can recognize linguistic features of different categories (e.g., electronics vs. cosmetics), for example, accurately differentiating between different translations of 'matte' in screen (frosted) and lipstick (matte).
The deployment solution supports batch inference via the vLLM library, which in combination with Beam Search decoding ensures consistent translation of content at the catalog level. The team also provides customized fine-tuning guidance to help e-commerce platforms optimize model performance for specific categories.
This answer comes from the articleSeed-X-7B: Efficient Multilingual Translation of Large ModelsThe
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