White House AI czar David Sacks alleged Tuesday that DeepSeek had used OpenAI’s data outputs to train its latest models through a process called distillation.

OpenAI found evidence of “distillation,” which it believes came from DeepSeek. Distillation is a process where AI firms use an already trained large AI model to train smaller models.

OpenAI could try various ways to gather evidence of distillation, but it could be difficult for the AI lab to prove exactly ...

OpenAI said this week that DeepSeek may have used OpenAI model outputs "inappropriately." OpenAI has been accused of doing the same thing with copyrighted content. What's that old saying about ...

Distillation has brought opportunity, but it's poised to meet opposition because of the threat it poses to massive, expensive, proprietary models like those made by OpenAI and Anthropic.

OpenAI told the Financial Times that it found evidence linking DeepSeek to the use of distillation — a common technique developers use to train AI models by extracting data from larger, more ...

OpenAI believes DeepSeek, which was founded by math whiz Liang Wenfeng, used a process called “distillation,” which helps make smaller AI models perform better by learning from larger ones.

The model distillation capability introduced inside OpenAI API includes three components — Stored Completions, Evals, and Fine-tuning — all of which can be accessed via the API.

TL;DR Key Takeaways : OpenAI introduces a distillation feature to complement fine-tuning, enhancing language model performance and efficiency. Distillation trains a simpler model using a complex ...

OpenAI announced four major API updates during the event: model distillation, prompt caching, vision fine-tuning, and the introduction of a new API service called Realtime.

OpenAI could try various ways to gather evidence of distillation, but it could be difficult for the AI lab to prove exactly what DeepSeek has done without access to internal company data. This ...