This is where OpenAI's function calling capability comes in. It allows GPT-3.5 and GPT-4 models to take user-defined functions as input and generate structure output. With this, you don't need to write RegEx or perform prompt engineering. In this tutorial, I'll explain step-by-step how...
function=Function(arguments='{\n "location": "Toronto, Canada",\n "format": "celsius",\n "num_days": 1\n}', name='get_n_day_weather_forecast'), type='function')])
In this tutorial, you will build a project that leverages OpenAI's function calling feature, available in OpenAI's latest Chat Completions API models.
We won’t go into the details of how function calling works here, but you can read our OpenAI Function Calling tutorial. What’s important to know is that with Structured Outputs, using function calling with OpenAI models becomes so much easier. In the past, the functions you would pass to...
All you need to know is that this method takes thetool_beltclass property and uses thedocstring_parserlibrary we installed at the beginning of this tutorial to parse the docstrings of each function and extract the correctOpenAI JSON format. That is why correctly formatting the docstrin...
We recently posted a step-by-step video demo ofOpenAI function callingwith Rasa on ouryoutube channel. It's an extension of the previousvideoandblogwe did about answering questions on structured data with ChatGPT and Rasa. If you haven’t checked out our previous tutorial on answering questions...
In a function calling, the model is able to identify only one function from the user query at a time. Due to that, it is not able to recognize multiple functions required from the user input in a single query, which is a limitation of using function calling without the parallel feature....
When using the calling function, you may call the OpenAI API more than once. The first time is a normal query, but the function's parameter gives information about the functions created earlier. (function_call should be “auto”) model_name = "gpt-3.5-turbo-0613" ...
还记得第一次看到OpenAI文档在介绍大语言模型是如何调用第三方服务的时候（应该算做 Function calling 的...
Unfortunately, functions defined in your chat completion calls don't always perform as expected. Fine-tuning your model with tool calling examples can improve model output by enabling you to:Get similarly formatted responses even when the full function definition isn't present. (Allowing you to ...