About OpenAI Fine-tuning
OpenAI’s fine-tuning API lets developers customize OpenAI models (including GPT‑4o and GPT‑4o mini) on their own datasets for text and image+text tasks, and supports workflows like model distillation and a fine-tuning dashboard. Documentation and product announcements describe API endpoints, data-format guidance, and privacy/ownership guarantees for fine-tuned models.
Key Features
- Fine-tune frontier models (GPT‑4o, GPT‑4o-mini, GPT‑3.5 family) with text and vision datasets
- Fine-tuning dashboard and API to create/manage training jobs and model deployments
- Model distillation workflows to train smaller cost-efficient models from larger model outputs
- Developer docs and data-format guidance plus customer data privacy/ownership controls
Use Cases & Best For
Developers building domain-specialized assistants or applications that need custom model behavior
Teams that want managed fine-tuning and model management on OpenAI’s API
About Fine-tuning & Training
Customize and train models