OpenAI and Scale are joining forces to assist more firms profit from fine-tuning our most advanced models.

Corporations expect high performance, steerability, and customization relating to deploying AI in production. We recently launched fine-tuning for GPT-3.5 Turbo, and can bring fine-tuning to GPT-4 this fall. With fine-tuning, firms can now securely customize our most advanced models on proprietary data, making our strongest models much more useful. As all the time, data sent out and in of the fine-tuning API is owned by the client and just isn’t utilized by OpenAI, or every other organization, to coach other models.

We’re working with Scale as a preferred partner to increase the advantages of our fine-tuning capability given their experience helping enterprises securely and effectively leverage data for AI. Constructing robust enterprise-grade functionality requires rigorous data enrichment and model evaluation. Scale customers can now fine-tune OpenAI models just as they’d through OpenAI, while also benefiting from Scale’s enterprise AI expertise and Data Engine.

Scale has already demonstrated value for patrons by fine-tuning GPT-3.5 for Brex. Try more details here.