release

GPT-3.5 Turbo fine-tuning and API updates

Builders can now create specialized versions of GPT-3.5 Turbo for their AI workflows, improving task-specific performance while controlling costs.

OpenAI Blog·August 22, 2023·1 min readrelease

releaseGPT-3.5 Turbo fine-tuning and API updates

openai.com

What happened

OpenAI has announced that developers can now fine-tune GPT-3.5 Turbo with their own data, according to an OpenAI blog post. This feature allows customization of the model for specific use cases, such as domain-specific chat, classification, or code generation. Fine-tuning enables the model to adapt to unique datasets and tasks, improving relevance and accuracy. The update also includes increased rate limits and improved documentation. This follows previous fine-tuning support for GPT-3.5, but now extends to the more efficient Turbo variant. For developers building AI workflows, this means they can tailor language model behavior to their applications without the overhead of training from scratch, leveraging the cost-effectiveness of GPT-3.5 Turbo. The process remains API-based, with pricing based on training tokens and usage.

Key takeaways

OpenAI now offers fine-tuning for GPT-3.5 Turbo with custom data.
Developers can improve model accuracy for domain-specific tasks.
The API update includes higher rate limits and better documentation.
Fine-tuning pricing is based on training data size and inference usage.
This extends customization options previously available for GPT-3.5 base models.