function calling, as I understand it, makes LLM outputs easier to consume by downstream APIs/functions (https://openai.com/blog/function-calling-and-other-api-u

function calling, as I understand it, makes LLM outputs easier to consume by downstream APIs/functions (https://openai.com/blog/function-calling-and-other-api-updates https://openai.com/blog/function-calling-and-other-api-updat...). Autolabel is quite orthogonal to this - it's a library that makes interacting with LLMs very easy for labeling text datasets for NLP tasks. We are actively looking at integrating function calling into Autolabel though, for improving label quality, and support downstream processing.