What is function calling in LLM and how is it implemented in Qwen?
sobes.tech AI
Answer from AI
Function calling in LLM is a mechanism that allows a language model not just to generate text, but to invoke external functions or APIs to obtain precise data or perform actions. Instead of trying to describe complex operations in text, the model forms a function call with parameters, which is then processed by the system.
In Qwen, this is implemented through a special interface where the model generates a JSON with the function name and arguments. This call is then interpreted and executed by external code, and the result is returned back to the model for further generation or response.
This approach enhances accuracy and expands the capabilities of LLMs, allowing them to be integrated with real services and databases.