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Interested in fine-tuning vision language models and their real-world applications? Check out our latest work with fine-tuned LLaVA, where Yanwei (Wayne) Zhang and our Data team achieved better-than-human accuracy in some e-commerce applications. This approach enhances model accuracy, streamlines user experience, and boosts operational efficiency through advanced automation. They also explore extending this to a general instruction-following framework for tasks like recommending product titles, descriptions, and extracting attributes such as color, materials, weights, and dimensions. https://lnkd.in/gqSAz_4J

Advancing product categorization with vision language models: The power of fine-tuned LLaVA

Advancing product categorization with vision language models: The power of fine-tuned LLaVA

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Andy Meehan

Helping Grow: Greeting Cards 💌 Celebrations 🎈 Stationery 📔 Business Development & Retail Execution ✪ GCA - President (USA) ✪ Worldwide Network & Founder of ‘Greeting Card Gurus’ est. 2008. 13,000 members

1mo

Looking forward to the results of this, and seeing how categorization of greeting cards will be handled in this system. so far it’s not the most ideal way, and far from the very good categorization that happens in the retail space with greeting cards

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