For example, they can infer a table is round if specifications list a diameter or infer the collar style of a shirt from its image.”Īmazon claims that its generative AI tools will help sellers save time and allow customers to find more complete product information, but there are some concerns around using generative AI models at such scale, given their ability to “hallucinate” - or create false information not based on real data. “Our models learn to infer product information through the diverse sources of information, latent knowledge, and logical reasoning that they learn.
“With our new generative AI models, we can infer, improve, and enrich product knowledge at an unprecedented scale and with dramatic improvement in quality, performance, and efficiency,” explained Robert Tekiela, vice president of Amazon Selection and Catalog Systems, in a statement. Previously, Amazon had used machine learning and deep learning techniques to extract and enrich product information, but the new generation AI capabilities builds on that technology. Though Amazon doesn’t specifically say, it seems that the retailer likely scoured its own listing data to train its machine learning models. The AI tools were built using large language models, or LLMs, that were trained on large amounts of data.
Sellers will also be able to add to their existing product descriptions using AI, instead of having to start from scratch. The retail giant claims these new capabilities are designed to help sellers generate “captivating product descriptions, titles, and listing details.” Amazon today introduced a new set of generative AI tools aimed at sellers which the retailer says will simplify the process of creating product listings.
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