GPT-3.5 Turbo fine-tuning and API update

"Revolutionize Your AI Experience: Unleash the Power of Customization with GPT-3.5 Turbo Fine-Tuning!"

GPT-3.5 Turbo fine-tuning and API update

– Fine-tuning is available for GPT-3.5 Turbo, enabling developers to customize the model according to their use cases.

GPT-3.5 Turbo fine-tuning and API update

– Developers can create their own custom models that excel in specific tasks, enhancing performance and efficiency.

GPT-3.5 Turbo fine-tuning and API update

– Early tests show that fine-tuned GPT-3.5 Turbo models can match or exceed base GPT-4 capabilities on certain narrow tasks.

GPT-3.5 Turbo fine-tuning and API update

– The fine-tuning API ensures data privacy; customer data used for fine-tuning is not utilized to train other models.

Use cases for fine-tuning include improved steerability 

– reliable output formatting, and custom tone, enhancing user experience and interactions.

– Developers can reduce prompt size significantly, leading to faster API calls and reduced costs.

– Fine-tuning works effectively when combined with techniques like prompt engineering, information retrieval, and function calling.

– Fine-tuning steps involve preparing data, uploading files, creating a fine-tuning job, and using the fine-tuned model in production.

– A fine-tuning UI is upcoming, providing developers with better access to ongoing fine-tuning progress and information.

– Safety is a priority, and fine-tuning process maintains the default model's safety features through moderation and GPT-4 powered checks.

– Fine-tuning costs include training and usage expenses, with specific pricing based on tokens.

– The original GPT-3 base models (ada, babbage, curie, davinci) will be replaced by babbage-002 and davinci-002; available as base or fine-tuned models.

– New API endpoint /v1/fine_tuning/jobs supports fine-tuning, replacing the old /v1/fine-tunes endpoint.

– Pricing details for both base and fine-tuned GPT-3 models are provided.

– OpenAI emphasizes safety, privacy policies, and its commitment to ethical AI development.