OpenAI Brings Custom Fine-tuning for GPT-3.5 Turbo Model

OpenAI Brings Custom Fine-tuning For GPT-3.5 Turbo Model

Fine-tune GPT-3.5 Turbo on Custom Knowledge Base

OpenAI has finally introduced fine-tuning for its popular GPT-3.5 Turbo model. The announcement is aimed at businesses and developers to create supervised products that excel at specific tasks. According to OpenAI, a fine-tuned version of the GPT-3.5 Turbo model can match and even outperform advanced models like the GPT-4. So to learn more about custom fine-tuning on GPT-3.5 Turbo, follow along.

Creating Tailored Experiences

Fine-tuning allows users to customize the model and create something that tailors to their needs. GPT-3.5 Turbo is known for its exceptional performance, and now, with fine-tuning support, developers can leverage this ability to create new experiences. Whether it’s AI chatbots, documentation engines, AI assistants, coding assistants, or any other application, you can now create custom solutions for your business in your desired tone.

It’s worth noting that OpenAI still supports fine-tuning for GPT-3 series models such as babbage-002 and davinci-002. The API endpoint for fine-tuning has been updated, and you can find more information about it here. An important feature of fine-tuning for GPT-3.5 Turbo is that all the training data goes through OpenAI’s Moderation API and the GPT-4 powered moderation system. This allows the detection of unsafe training data that may conflict with OpenAI’s safety standards.

Rest assured, none of the private training materials will be used to train OpenAI models. Additionally, it’s important to note that currently, GPT-3.5 Turbo can handle up to 4k tokens at once. However, OpenAI plans to introduce support for longer context lengths and function calling later this fall.

Pricing and Results

When it comes to pricing, fine-tuning the GPT-3.5 Turbo model comes at a cost of $0.0080 per 1000 tokens for training, $0.012 per 1000 tokens for usage input, and $0.016 per 1000 tokens for usage output. While it may be slightly more expensive than Davinci and Babbage models, the fine-tuned version of GPT-3.5 Turbo delivers significantly better results.

With OpenAI’s introduction of custom fine-tuning for the GPT-3.5 Turbo model, businesses and developers now have the opportunity to create tailored solutions that outperform the competition. Whether it’s developing AI chatbots, coding assistants, or any other application, the power of GPT-3.5 Turbo combined with fine-tuning opens up new possibilities for innovation and enhanced user experiences.

Stay ahead of the game by incorporating fine-tuned GPT-3.5 Turbo into your development workflow and witness the incredible results it can achieve.