OpenAI will allow companies to customize their most powerful AI model | Technology News

OpenAI plans to implement the capability of personalization, commonly known in the AI ​​industry as fine-tuning. | Photo: Reuters

By Rachel Metz

OpenAI is launching a new feature that will allow corporate customers to use their own company data to customize the AI ​​startup’s most powerful model, GPT-4o.

The move comes at a time when startups face increasing competition for their enterprise AI products, and companies face mounting pressure to demonstrate the benefits of AI investment.

OpenAI plans to roll out the customization capability, generally known in the AI ​​industry as fine-tuning, on Tuesday. Fine-tuning allows existing AI models to be trained with additional information about a particular type of task or subject area. For example, a company that makes skateboards could fine-tune an AI model so it can be used as a customer service chatbot capable of answering questions about wheels and the specifics of caring for a skateboard.

This capability is new to OpenAI’s flagship model — fine-tuning was not previously available on GPT-4o or its predecessor GPT-4. However, the company has allowed users to fine-tune many of its other models, including the GPT-4o mini, which is a cheaper, simplified version of GPT-4o.

Many tech companies offer the ability to customize AI models, whether large or small. OpenAI is betting on making it easy for customers to modify their most powerful model by working directly with the company, rather than using an external service or a less powerful product, said Olivier Godement, OpenAI’s API product manager.

“We’ve been very focused on lowering the bar, the friction and the amount of work it takes to get started,” Godement said.

To fine-tune a model, customers must upload their data to OpenAI’s servers. Training takes, on average, one to two hours, said John Allard, a software engineer at OpenAI who works on customization. Initially, users will only be able to fine-tune the model with text-based data, Allard said, not images or other content.

First published: August 20, 2024 | 11:54 PM IS

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