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Model Distillation in the API

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Fine-tune a cost-efficient model with the outputs of a large frontier model–all on the OpenAI platform

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OpenAI Blog
3d ago

Disrupting a coordinated model-distillation campaign

OpenAI exposed and disrupted a coordinated campaign aimed at extracting protected model reasoning through model distillation. The incident highlighted vulnerabilities in how models can be reverse‑engineered by adversaries. In response, OpenAI is enhancing its defenses to guard against future adversarial distillation attempts.

arXiv Machine Learning
Jun 11

Apertus LLM Family Expansion via Distillation and Quantization

arXiv:2605. 29128v2 Announce Type: replace Abstract: The wide adoption of LLMs has led to their use in great variety of applications and scenarios, such as chatbot assistants and data annotation, creating the need for the models to satisfy certain budget and hardware constraints.

By Andrei Panferov, Davit Melikidze, Martin Jaggi, Dan Alistarh