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How we improved GPT-4o multi-step function calling success rate by 4x
AI Agents will usher in a new era of human-computer interfaces, automation, personal AI assistants and AI employees. Function calling enables AI Agents to execute complex, multi-step workflows with precision, and plays a big part in fulfilling the promise of AI Agents.
This gives an AI model the ability to assess if a function call is appropriate based on context, and to construct the exact input parameters required, enabling flexible, dynamic task execution within defined constraints. Multi-step AI Agents must adaptively choose and call APIs on the fly as they handle complex tasks, adjusting their actions based on continuous feedback from previous interactions. Managing these real-time decisions while maintaining the continuity of multi-step workflows is challenging – making API selection and payload generation a critical, yet error-prone, aspect of AI Agent functionality.
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