Posted in 2023

Text Classifiers are an Underrated Application of LLMs

Before LLMs really became a thing, getting up and running with a text classifier for a non-standard problem from scratch, including the annotation of a dataset for training, would probably take at least 3 weeks of work hours. That amounts to 7,200 minutes. Today, getting up and running with a classifier using LLMs requires only writing a prompt, which takes about a minute.

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A Process for Building LLM Classifiers

Large language models (LLMs) can be prompt-engineered to solve a wide variety of tasks. While many consider chat as the primary use case, LLMs can also be used to build traditional classifiers.

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