AI case study

Faraday LabCustom language models

English-centric models ignored local context. Refining 14M records to 100k curated samples trained a culturally accurate French AI.

Published|1 year ago

The story

Context

A French startup provides open-source artificial intelligence tools to 45,000 users across 30 countries, focusing on linguistic diversity in a market dominated by English-centric technology.

Challenge

Most generative AI models are trained on English datasets, creating cultural bias and excluding non-English speakers. The company's on-premises...

Solution
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Scope & timeline

  • 50% reduction in LLM training time
  • Model deployed in 15 days

Quotes

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The company

Faraday Lab logo

Faraday Lab

openares.net

AI research lab focused on evaluation and alignment for language models.

IndustrySoftware & Platforms
LocationSan Francisco, CA, USA
Employees1-10
Founded2023

The AI provider

Amazon Web Services (AWS) logo

Amazon Web Services (AWS)

aws.amazon.com

Cloud computing platform and on-demand infrastructure services.

IndustryTechnology
LocationSeattle, WA, USA
Employees100K+
Founded2006

The implementation partner

Storm Reply logo

Storm Reply

reply.com

Helped Faraday Lab with its fine-tuning process and cleaned its open-source datasets.

IndustryTechnology
LocationTurin, Italy
Employees10K-50K
Founded1996

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