OpenAI has reportedly launched its most-awaited feature, especially for developers. Now they can fine-tune GPT-4o with custom datasets to get higher performance at a lower cost for their specific use cases. It allows developers and organizations to get higher performance at a lower cost for specific use cases. Further, the AI firm explains that Fine-tuning will enable the model to customize the structure and tone of responses, also allowing ChatGPT-4o to follow complex domain-specific instructions, making this update “one of the most requested features for developers.”.
Fine-tuning is now available for GPT-4o
Moreover, the GPT-4o is available to all developers on all paid usage tiers. To get started, you have to visit the fine-tuning dashboard, click ‘create’, and select ‘GPT-4o -2024-08-06’ from the base model drop-down. The GPT-4o mini-fine-tuning OpenAI is offering 2 million training tokens per day for free through September 23. Its training costs $25 per million tokens, and its interface is $3.75 per million input tokens and $15 per output token.
The fine-runed models remain under your control, with full ownership of your business data, including all inputs and outputs. This will ensure your data is safe and never shared or used to train other models. Therefore, OpenAI has implemented layered safety migrations for fine-tuned models to ensure they aren’t being misused. Also, OpenAI has worked with trusted partners to test fine-tuning on GPT 4O and learn about their use cases.
Furthermore, this feature will allow the developers to train their AI models while adding more relevant and focused data about their usage, making the generated response more accurate. Fine-tuning is a method to get the full processing capabilities of large language models (LLM) while curating specific datasets to make the workflow more emerging. It is not limited to processing power; it focuses on resulting in a faster and generally more accurate response.