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I have uploaded a sample training data file like below to the portal, but got error after uploading the data file
{"messages": [{"role": "user", "content": "What is the weather in San Francisco?"},{"role": "assistant", "function_call": {"name": "get_current_weather" },"arguments": "{"location": "San Francisco, USA", "format": "celcius"}"}],"functions": [{"name": "get_current_weather","description": "Get the current weather","parameters": {"type": "object","properties": {"location": {"type": "string", "description": "The city and country, eg. San Francisco, USA"},"format": {"type": "string", "enum": ["celsius", "fahrenheit"]}},"required": ["location", "format"]}}]}
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Hi @Robin Ma
Welcome to Microsoft Q&A! Thanks for posting the question.
What do you mean by "function call fine-tuning"? What exactly you are trying to achieve?
Function calling is a feature of Azure Open AI that allows you to execute custom functions withing your prompts and get the results back in your responses. Function calling is supported in version 0613 of gpt-35-turbo, gpt-35-turbo-16k, gpt-4, and gpt-4-32k models. Please refer to How to use function calling with Azure OpenAI Service for details and examples.
Additionally, you can refer to Azure Open AI Samples GitHub repo for more examples on working with functions.
Please let me know if you have any questions,
Thanks
Saurabh
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Hi, I have same question, OpenAI has function calling fine tuning, may I know if Azure also has function calling fine tuning?
https://platform.openai.com/docs/guides/fine-tuning/fine-tuning-examples
My goal is to reduce the token cost.
@Saurabh Sharma, I want to try fine-tuning the function call feature against gpt3 turbo, so I can get more stable functional response for the same input prompt.
can you confirm if this is doable?if yes, can you provide a sample training dataset jsonl file I can refer to?
Thanks,
Robin
Frederick Yuan Robin Ma ok, got it. I am checking internally on the same and get back to you if this is currently possible.
Thanks
Saurabh
I have got confirmation from products team that fine-tuning on function calling is not supported yet. Please keep an eye out for updates in the coming months.
Thanks
Saurabh
Please 'Accept as answer' and Upvote if it helped so that it can help others in the community looking for help on similar topics.
Please let me know if you find above reply useful. If yes, please 'Accept the answer' for the above reply. This will help other community members facing similar query to refer to this solution.
Thanks,
Saurabh