GPT-4o fine-tuning for custom applications
Fine-tune GPT-4o for higher performance and accuracy in specific use cases.
GPT-4o (or GPT-4o mini)
Fine-tuning a model for specific applications to improve performance, accuracy, tone, or instruction following.
GPT-4o fine-tuning is available to customize structure and tone of responses, or to follow complex domain-specific instructions, leading to better results with fewer examples.
2024-08-20
Use GPT-4o fine-tuning to create custom versions of the model for your applications. This allows for increased performance, accuracy, and adherence to specific instructions or tone, especially useful for complex, domain-specific tasks.
Fine-tuning enables the model to customize structure and tone of responses, or to follow complex domain-specific instructions. Developers can already produce strong results for their applications with as little as a few dozen examples in their training data set.
- Fine-tuning now available for GPT-4o ↗OpenAI · OpenAI News · Aug 20, 2024 · paraphrased
First seen on Subvolts Aug 20, 2024. Updated Sep 11, 2026. Spotted a problem? Tell us.
- Fine-tuning now available for GPT-4oOpenAI · OpenAI News · Aug 20, 2024
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- ToolGPT-3.5 Turbo fine-tuning APICustomize GPT-3.5 Turbo models with your own data for improved performance on specific tasks. · 15 min
- HeuristicCombine fine-tuning with other techniquesMaximize fine-tuning effectiveness by integrating it with prompt engineering, retrieval, and function calling. · 10 min
- Cost tipReduce prompt size with fine-tuningFine-tune instructions into GPT-3.5 Turbo to shorten prompts by up to 90% and cut costs. · 10 min
- Cost tipReduce GPT-6 Luna costs with cached tokensUse cached input tokens to lower costs for high-volume tasks. · 5 min
- Setting tipControl GPT-6 Luna reasoning effort for efficiencyAdjust reasoning_effort to balance model performance and cost for focused tasks. · 1 min
- Cost tipManage GPT-6 Luna costs for large token promptsBe aware of increased pricing for prompts exceeding 272K input tokens. · 5 min
Questions people ask
- Which AI tools does this work with?
- The sources used it with ChatGPT.
- Where did this come from?
- OpenAI (OpenAI News). Subvolts collected, normalized and credited it; the link above opens the original.