OpenAI has announced the addition of support for the `tools` parameter in its Fine-tuning API, enabling developers to fine-tune models for parallel function calling as of today. This new feature allows for more advanced customization and optimization of AI models, enhancing their functionality and efficiency.
fine-tuning a model with tool-calling examples enables you to obtain similarly formatted responses and achieve more accurate and consistent outputs, even without the full tool definition present https://t.co/CNKKRQF1rF
Fine-tuning now supports function calling: https://t.co/tTI1GmM0Rg
Devs! Fine-tune models for function calls, starting now! Thank you @OpenAIDevs https://t.co/M65JAynuuV
Did you know you can fine-tune models for function calling? Well, you can! As of today, we have added support for the `tools` parameter in the Fine-tuning API, which means you can now also fine-tune for parallel function calling. https://t.co/o6MgUDhiSo
Fine Tuning Can Be Applied Widely Lately, we have been doing several fine tunes a week, and I have been pleasantly surprised by how widely applicable it is. Even 8B models are great for fine tunes, and you can apply them to different use cases like multi-class classification,… https://t.co/MCJrV3Dijr