Don't classify, hallucinate!
A useful pattern for LLM classification at scale is to let it hallucinate plausible, fake entities. Then resolve to real ones.
Summary
Using large language models to generate plausible yet fictional entities can enhance classification processes by later mapping these to actual entities. This method offers a novel approach to managing large-scale data classification challenges.
Comments (93 of ) ⌛