What is the primary use of Snowflake Cortex LLM functions?
Running machine learning models on structured data.
Optimizing data loading performance.
Performing traditional SQL joins.
Analyzing text data for sentiment summarization and other AI/ML tasks.
Cortex LLM functions integrate large language model capabilities directly inside Snowflake. These functions enable:
• Sentiment analysis
• Summarization
• Document question answering
• Text classification
• Embedding generation for vector search
They operate directly on Snowflake data, require no external infrastructure, and support secure in-platform AI workloads.
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