The recent update on the Azure OpenAI Service has introduced fine-tuning capabilities for several models, including GPT-3.5-Turbo, Babbage-002, and Davinci-002 in the Azure Machine Learning model catalog.
The addition of two new base inference models (Babbage-002 and Davinci-002) and the ability to fine-tune three models (Babbage-002, Davinci-002, and GPT-3.5 Turbo) in the Azure OpenAI models collection gives users more flexibility and choice.
Fine-tuning can be valuable for a wide range of applications, including customer service automation, content generation, translation, text summarization, and more. It can also be used alongside other methods like prompt engineering and information retrieval to achieve even better results.
The ability to fine-tune Azure OpenAI models using either Azure Machine Learning Service or Azure OpenAI Service is a welcome addition. This gives users more control over the fine-tuning process and allows them to choose the platform that best suits their needs.
It is important to note that fine-tuning is a paid service. However, Azure offers fully managed fine-tuning services, which means that users do not need to worry about managing the infrastructure or training process.
This update allows users to leverage fine-tuned Azure OpenAI models to create more tailored and efficient AI solutions for a wide range of tasks and applications.