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Fine tuning allows you to customize large language models for specific tasks and it operates by customizing the large language model itself. Microsoft’s Azure OpenAI Service & Azure Machine Learning offer Supervised Fine Tuning, which allows you to provide custom data (prompt/completion or conversational chat) to teach the base model new skills.
Microsoft today announced a significant update for Azure OpenAI Service users. First, fine-tuning is now available for GPT-3.5-Turbo, Babbage-002, and Davinci-002 in Azure Machine Learning model catalog. Microsoft also announced the availability of two new base inference models (Babbage-002 and Davinci-002) in Azure Machine Learning model catalog.
- GPT-3.5-Turbo is the most capable and cost-effective OpenAI model available on Azure and it is optimized primarily for chat apps.
- Babbage-002 and Davinci-002 are much smaller in size and they can understand and generate natural language and code. But they don’t have instruction-following capabilities.
It is important to note that all three models depend on data before Sep 2021. Find the pricing details below:
| Model | Hourly Hosting | Input tokens | Output Tokens |
| Babbage-002 | $1.70 | $0.0004 / 1k | $0.0004 / 1k |
| Davinci-002 | $3.00 | $0.0020 / 1k | $0.0020 / 1k |
| GPT-35-Turbo | $7.00 | $0.0015 / 1k | $0.0020 / 1k |
You can learn more about Fine Tuning models here.