Increase Performance and Accuracy with Fine-Tuned GPT-4o

OpenAI recently announced that third-party developers can now fine-tune custom versions of its flagship large multimodal model (LMM), GPT-4o. This new feature lets developers tweak the model’s behavior to better fit their app or organization’s needs.

Whether you need to adjust the tone, follow specific guidelines, or boost accuracy in technical tasks, fine-tuning can make a big difference, even with smaller datasets.

How to Get Started: Limited Time Offer

Developers eager to try out this feature can head over to OpenAI’s fine-tuning dashboard. Just click “create,” then select gpt-4o-2024-08-06 from the base model dropdown menu.

Fine-tuning opens up new possibilities for customizing AI models to better meet your specific needs.

Exciting news for developers—fine-tuning is now live for GPT-4o! This highly requested feature allows you to optimize the model for specific applications, enhancing performance and accuracy without breaking the bank. Plus, there's a limited-time offer: 1 million training tokens per day for free until September 23.

Why Fine-Tuning Matters

Fine-tuning lets you mold GPT-4o to your needs. Whether you're focused on coding, creative writing, or any specialized task, tweaking the model with your data can yield impressive results. You can customize the model’s tone, improve its adherence to domain-specific instructions, and even fine-tune how it formats responses.

Two early adopters, Cosine and Distyl, have already demonstrated the power of fine-tuning. Cosine's Genie AI now dominates the SWE-bench benchmark, making significant strides in software engineering tasks. Meanwhile, Distyl achieved top marks on the BIRD-SQL benchmark, leading the pack in text-to-SQL conversion.