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Results for “e-commerce”

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LLMsOct 2, 20261 min read

Real-Time Retail Intelligence: Building E-Commerce Recommendations with Lakebase and AI Search on Databricks

The opportunity: Personalization as a revenue engineEvery second a shopper spends...

From Databricks blog

AIOct 1, 20261 min read

ChatGPT can now virtually try on clothes for you

OpenAI is rolling out new shopping features for ChatGPT that let users virtually try on clothing and accessories using their own photos and save products they like to a Favorites library.

From TechCrunch AI

How this blog is made

Every post is a routed request.

Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace. Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run it yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.

Photo: Yan Krukau

LLMs

Sep 10, 2026

1 min read

Parallel Decoding Improves E-Commerce Attribute Extraction

A new LLM pipeline using Hyper-Parallel Decoding achieves high extraction accuracy and significant cost reduction for e-commerce attribute extraction. This enables production-scale use for building structured product knowledge bases.

From arXiv cs.CL

Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.

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