Question

A data science team at an insurance company wants to adapt a base large language model so it produces claim-classification outputs that match their internal category labels and tone. They want to do this entirely within Snowflake without exporting data to an external service, using their own labeled training rows stored in a Snowflake table. Which Snowflake Cortex capability should they use?

Accepted Answer

Cortex Fine-tuning, which trains a customized version of a base model using the team's labeled data inside Snowflake

Answer

The COMPLETE function with a longer prompt that includes all labeled examples on every call

Answer

Cortex Search, which indexes the labeled rows to retrieve the closest matching category

Answer

The EMBED_TEXT function to convert labels into vectors that permanently reprogram the base model