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Liquid AI demos d1-ultra model for checking product images against listings

2 articles1 sourcesince Oct 15Last article 2h ago ·

Overview

AISummary of 2 articles

Liquid AI demonstrates d1-ultra comparing product images with listing details, flagging mismatches, and routing uncertain claims for human review, according to a demo post on X. The company says the same checks can be adapted to a customer's own catalog, product categories and review workflow through its API.

A separate Liquid AI post says d1-ultra is built for messy inputs that other models fail on, such as checking defects against a spec or damage claims against customer photos. The demonstration video shows the model sorting through a pile of disorganized inputs. Neither post reports accuracy figures or customer results.

Written by AI from the articles below · updated Oct 15, 1:14 PM ET

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Developments

2 developments

  1. Oct 15, 1:01 PM ET · 1 article
    Liquid AI demos d1-ultra checking product images against listing details
    Liquid AI: Liquid AI demos d1-ultra for catching product listing errors
  2. Oct 15, 1:00 PM ET · 1 article
    Liquid AI shows d1-ultra sorting through messy, hard-to-parse inputs
    Liquid AI: Liquid AI shows d1-ultra sorting through messy, hard-to-parse inputs

Article timeline

The articles in this story. Times are ET.

Oct 15
  1. Liquid AIOfficial
    Liquid AI demos d1-ultra for catching product listing errors

    AILiquid AI says a demo uses d1-ultra to compare product images with listing details, flag mismatches, and route uncertain claims for review. The post says the API can be adapted to a catalog, product categories, and review workflow.

    Video from @liquidai's post
  2. Liquid AIOfficial
    Liquid AI shows d1-ultra sorting through messy, hard-to-parse inputs

    AILiquid AI says d1-ultra is built for difficult, messy use cases where other models fail, such as spotting defects against a spec or checking damage claims against customer photos. The post shows d1-ultra sorting through a pile of garbage in a demonstration video.

    Video from @liquidai's post

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