Understanding the instructor Package for Structuring LLM Outputs
I am trying to structure outputs from a Large Language Model (LLM) and came across the instructor
package, which is a true gem. However, I don’t fully understand how instructor
works “under the hood.” Here are two simple examples that achieve the same result: