Function Calling

Function calling enhances large language models (LLMs) by enabling them to interact with external tools and APIs, significantly expanding their capabilities beyond text generation. Current research focuses on improving the robustness and security of function calling, addressing issues like vulnerability to adversarial attacks and developing efficient methods for parallel execution to reduce latency and cost. This area is crucial for advancing AI safety and building more powerful and reliable AI agents capable of performing complex tasks in diverse domains, such as game development and automated data analysis. The development of high-quality datasets and improved model architectures are key to achieving these goals.