Efficiently Applying LLMs to Transform Semi-Structured Data

LLMs can be an effective way to generate structured data from semi-structured data, although an expensive one. A team of Stanford and Cornell researchers claim to have found a technique to reduce inference costs by 110x while improving inference quality.

ai claim costs data data-wrangling inference large language models llms ml & data engineering python quality reduce researchers stanford structured data team