OpenAI announced the launch of fine-tuning for GPT-4o, addressing one of the most frequently requested features from developers. This new capability allows developers to fine-tune the GPT-4o model with custom datasets, enhancing performance while reducing costs for specific applications.
To support the rollout, OpenAI is offering 1 million free training tokens per day for every organization through September 23. This incentive is designed to help developers explore fine-tuning without immediate cost concerns.
Developers can begin fine-tuning by visiting the fine-tuning dashboard. The process involves:
- Accessing the dashboard.
- Clicking "Create" to start a new project.
- Selecting
gpt-4o-2024-08-06from the base model options.
GPT-4o Mini Also Available
OpenAI also offers GPT-4o Mini for fine-tuning. This smaller model is available with 2 million free training tokens per day until September 23. To use it, developers should select gpt-4o-mini-2024-07-18 on the fine-tuning dashboard.
Data Privacy and Safety
- Control: Fine-tuned models remain under the developer's control, with full ownership of business data, including all inputs and outputs.
- Safety: Layered safety mitigations are in place, including automated safety evaluations and usage monitoring to ensure compliance with usage policies.
What is Fine-tuning?
- Fine-tuning in AI refers to the process of taking a pre-trained model and further training it on a new, often smaller, dataset that is specific to a particular task or domain. This allows the model to adapt to new data and improve its performance on specific tasks without needing to be trained from scratch.
