The world of AI is constantly evolving, and developers are always looking for ways to fine-tune models to meet their specific needs. Today, we’re excited to announce that fine-tuning is now available for GPT-4o, a highly anticipated feature that has been in high demand among developers. This new capability allows developers to customize GPT-4o models to improve performance, accuracy, and cost-efficiency, making it easier to tailor AI responses to specific use cases. Best of all, we’re offering 1 million training tokens per day for free to every organization until September 23, providing an incredible opportunity to enhance your applications without incurring additional costs.
Why Fine-Tune GPT-4o?
Fine-tuning GPT-4o enables developers to train the model with custom datasets, allowing for a more refined and accurate output that aligns with their unique requirements. Whether your focus is on coding, creative writing, or complex problem-solving, fine-tuning offers a significant boost in model performance. With as few as a few dozen examples, developers can achieve impressive results, tailoring the structure, tone, and response style to their specific needs.
This is especially beneficial for applications that require domain-specific instructions or need to maintain a consistent tone throughout interactions. Fine-tuning GPT-4o allows for greater control over the model’s behavior, ensuring that it can handle complex tasks with precision and efficiency.
Getting Started with GPT-4o Fine-Tuning
Fine-tuning GPT-4o is now available to all developers across all paid usage tiers. To begin, simply visit the fine-tuning dashboard and select “Create.” From the base model drop-down, choose gpt-4o-2024-08-06. The cost of fine-tuning GPT-4o is $25 per million training tokens, with inference priced at $3.75 per million input tokens and $15 per million output tokens.
For developers looking for a more cost-effective option, GPT-4o mini fine-tuning is also available. You can select gpt-4o-mini-2024-07-18 from the base model drop-down and benefit from 2 million free training tokens per day until September 23. This option provides an excellent entry point for those looking to experiment with fine-tuning without making a significant financial commitment.
To learn more about how to utilize fine-tuning, please refer to our comprehensive documentation.
Success Stories: How Fine-Tuning GPT-4o Elevates AI Performance
Over the past few months, we’ve partnered with several organizations to test fine-tuning on GPT-4o, and the results have been remarkable. Here are two success stories that highlight the potential of fine-tuning.
- Cosine’s Genie AI Achieves State-of-the-Art Results Cosine’s Genie, an AI software engineering assistant, has set a new standard for AI performance by achieving a state-of-the-art (SOTA) score of 43.8% on the SWE-bench Verified benchmark. Genie’s fine-tuned GPT-4o model was trained on real-world examples of software engineers at work, enabling it to autonomously identify and resolve bugs, build features, and refactor code with higher accuracy and fewer tokens. This customization allowed Genie to output in specific formats, such as patches that could be seamlessly integrated into existing codebases .Genie’s success didn’t stop there. The AI assistant also achieved a SOTA score of 30.08% on the SWE-bench Full benchmark, a significant improvement from its previous score of 19.27%. This achievement marks the largest-ever improvement in this benchmark, demonstrating the power of fine-tuning GPT-4o for specialized applications.
- Distyl Leads the BIRD-SQL Benchmark Distyl, an AI solutions partner for Fortune 500 companies, recently secured the top spot on the BIRD-SQL benchmark, the leading text-to-SQL benchmark. Distyl’s fine-tuned GPT-4o model achieved an execution accuracy of 71.83%, excelling in tasks such as query reformulation, intent classification, chain-of-thought, and self-correction. The model’s high performance in SQL generation showcases how fine-tuning can optimize AI for complex, industry-specific tasks.
Data Privacy and Safety: Your Data, Your Control
When it comes to data privacy and security, fine-tuned models remain entirely under your control. You retain full ownership of your business data, including all inputs and outputs, ensuring that your data is never shared or used to train other models. We’ve also implemented layered safety measures to prevent misuse of fine-tuned models. Automated safety evaluations are continuously run, and we monitor usage to ensure compliance with our policies.
Explore the Future of AI with GPT-4o Fine-Tuning
We’re thrilled to see the innovative solutions developers will create by fine-tuning GPT-4o. As we continue to invest in expanding our model customization options, we encourage you to explore the possibilities that fine-tuning offers. If you’re interested in learning more or need assistance with your projects, don’t hesitate to reach out to our team—we’re here to help you unlock the full potential of GPT-4o.
Take advantage of the free training tokens available until September 23 and start fine-tuning your GPT-4o model today by visiting our fine-tuning dashboard. Your journey to achieving state-of-the-art AI performance begins here.
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