Assistants API Parallel Function Calling
🤖 Learn How to Empower Your OpenAI Assistant with Parallel Function Calling!
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🤖 Learn the Revolutionary Parallel Function Calling in GPT! 🚀
* Parallel Function Calling: Enables multiple simultaneous function calls.
* Efficiency: Reduces API round-trips, ideal for time-consuming functions.
* Example Usage: Model can retrieve weather from multiple locations simultaneously, resulting in a combined response.
* Process: Involves calling functions like `get_current_weather` multiple times in one prompt.
* Tool Calls Array: Contains individual function call IDs.
* Response Handling: Add new messages for each function's result, linked by `tool_call_id`.
* Model's Discretion: After receiving function responses, the model crafts a user-facing message.
* Forcing Specific Functions: Set `tool_choice` to a function name to dictate specific function calls.
* User-Facing Message Generation: Use `tool_choice: "none"` to generate only user-facing messages.
* Default Behavior: `tool_choice: "auto"` lets the model autonomously decide function calls.
In this video, I'll guide you through the mind-blowing process of adding and integrating multiple functions to your custom GPT. Get ready to be blown away by the capabilities of AI!
🌟 What You'll Learn:
How to empower your GPT to perform multiple tasks simultaneously.
Integrating diverse APIs like G News and exchange rates for real-time updates.
Step-by-step customizing your GPT for stock prices, news, and currency conversion.
Optimizing your AI with function dispatch tables and tool outputs.
Witness the magic of executing multiple functions in a single prompt!
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Timestamps
0:00 - Introduction to Parallel Function Calling
0:26 - Step-by-Step Guide to Customize GPT
1:01 - Multi-Function Initiation Tutorial
2:01 - Adding and Defining Functions
3:38 - Action Status and Function Execution
4:12 - Final Output Demonstration
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