Builders can now describe features to gpt-4-0613 and gpt-3.5-turbo-0613, and have the mannequin intelligently select to output a JSON object containing arguments to name these features. This can be a new method to extra reliably join GPT’s capabilities with exterior instruments and APIs.
These fashions have been fine-tuned to each detect when a operate must be known as (relying on the consumer’s enter) and to reply with JSON that adheres to the operate signature. Perform calling permits builders to extra reliably get structured information again from the mannequin. For instance, builders can:
- Create chatbots that reply questions by calling exterior instruments (e.g., like ChatGPT Plugins)
Convert queries similar to “Electronic mail Anya to see if she needs to get espresso subsequent Friday” to a operate name like send_email(to: string, physique: string), or “What’s the climate like in Boston?” to get_current_weather(location: string, unit: 'celsius' | 'fahrenheit').
- Convert pure language into API calls or database queries
Convert “Who’re my prime ten clients this month?” to an inner API name similar to get_customers_by_revenue(start_date: string, end_date: string, restrict: int), or “What number of orders did Acme, Inc. place final month?” to a SQL question utilizing sql_query(question: string).
- Extract structured information from textual content
Outline a operate known as extract_people_data(individuals: [{name: string, birthday: string, location: string}]), to extract all individuals talked about in a Wikipedia article.
These use instances are enabled by new API parameters in our /v1/chat/completions endpoint, features and function_call, that enable builders to explain features to the mannequin through JSON Schema, and optionally ask it to name a particular operate. Get began with our developer documentation and add evals should you discover instances the place operate calling could possibly be improved
