OpenAI Announces Fine-Tuning for GPT-3.5 Turbo, GPT-4 Coming Soon

OpenAI has introduced fine-tuning capabilities for its language model, GPT-3.5 Turbo, allowing developers to enhance its performance for specific use cases. In early tests, a fine-tuned version of GPT-3.5 Turbo showcased the potential to match or exceed the capabilities of the base GPT-4 model for certain specialized tasks. Fine-tuning enables businesses to customize the model’s responses, such as making them more concise or ensuring they are in a particular language.

By utilizing fine-tuning, applications that require consistent response formatting — like code completion or composing API calls — can benefit from improved output precision. Furthermore, businesses seeking a more consistent brand voice can use fine-tuning to align the language model with their desired tone.

Notably, fine-tuning with GPT-3.5 Turbo supports up to 4,000 tokens, double the capacity of previous fine-tuned models. This advancement allows users to reduce the size of prompts by up to 90%, leading to faster API calls and cost savings. OpenAI also indicated that support for fine-tuning with function calling and the “gpt-3.5-turbo-16k” model will be available in the near future.

As with all OpenAI APIs, the customer retains ownership of the data shared through the fine-tuning API, which is not utilized by OpenAI or any other organization to train other models.

Sources:
– OpenAI Blog [No URL provided]