GPT-3.5 Turbo fine-tuning API
Customize GPT-3.5 Turbo models with your own data for improved performance on specific tasks.
An API that allows developers to fine-tune GPT-3.5 Turbo models using their own datasets.
Improving model performance on specific use cases, shortening prompts, and reducing costs.
Costs are broken down into initial training cost and usage cost. Example: 100,000 tokens trained for 3 epochs costs $2.40.
https://openai.com/index/gpt-3-5-turbo-fine-tuning-and-api-updates
Developers can now fine-tune GPT-3.5 Turbo with custom data. This allows for better performance on narrow tasks, shorter prompts, and reduced costs. Data submitted is customer-owned and not used for training other models.
Fine-tuning integrates specific instructions and data directly into the model, making it more efficient and accurate for targeted applications, similar to how a human expert learns a specialized skill.
- GPT-3.5 Turbo fine-tuning and API updates ↗OpenAI · OpenAI News · Aug 22, 2023 · paraphrased
First seen on Subvolts Aug 22, 2023. Updated Sep 11, 2026. Spotted a problem? Tell us.
- GPT-3.5 Turbo fine-tuning and API updatesOpenAI · OpenAI News · Aug 22, 2023
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- Model pickGPT-4o fine-tuning for custom applicationsFine-tune GPT-4o for higher performance and accuracy in specific use cases. · 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.