OpenAI Launches Fine-Tuning Capabilities for GPT-4
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OpenAI has announced the release of fine-tuning capabilities for its GPT-4o model, a feature eagerly awaited by developers. To sweeten the deal, OpenAI is providing one million free training tokens per day for every organisation until 23rd September.
Tailoring GPT-4o using custom datasets can result in enhanced performance and reduced costs for specific applications. Fine-tuning enables granular control over the model’s responses, allowing for customization of structure, tone, and even the ability to follow intricate, domain-specific instructions.
Developers can achieve impressive results with training datasets comprising as little as a few dozen examples. This accessibility paves the way for improvements across various domains, from complex coding challenges to nuanced creative writing.
“This is just the start,” assures OpenAI, highlighting their commitment to continuously expand model customization options for developers.
GPT-4o fine-tuning is available immediately to all developers across all paid usage tiers. Training costs are set at $25 per million tokens, with inference priced at $3.75 per million input tokens and $15 per million output tokens.
OpenAI is also making GPT-4o mini fine-tuning accessible with two million free daily training tokens until 23rd September. To access this, select “gpt-4o-mini-2024-07-18” from the base model dropdown on the fine-tuning dashboard.
The company has collaborated with select partners to test and explore the potential of GPT-4o fine-tuning:
OpenAI assures its users that they retain full control over fine-tuned models, ensuring exclusive ownership and privacy of their business data without any sharing or use in training other models.
Rigorous security protocols have been employed to avoid any potential misuse of these fine-tuned models. These include regular automated safety checks and monitoring of model use to comply with OpenAI’s strict guidelines.
See also: Primate Labs introduces Geekbench AI benchmarking tool
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