Author's comment
This approach works well for single functions with short arguments. However, when argument length increases, LLMs tend to shorten or summarize the text, potentially losing important details. Passing the entire initial user's request as context can introduce "noise" and reduce the accuracy of argument extraction.
Could one measurement of intelligence be "understanding what functions to use and with what parameter values", what is capped by "functions available"?
Also watch: