QuestionQ61

VerifiedSnowflake Gen AI & LLM Functions

A Gen AI Specialist has deployed a base model as an LLM in a production environment for a proof of concept. The model is larger and more expensive than other base models.

How can the Specialist lower production costs without affecting performance for the limited tasks needed to support the proof of concept?

Explanation

Snowflake Cortex Fine-tuning customizes a pre-trained base model for specialized tasks. Fine-tuning a smaller, lower-cost base model for the limited required tasks can retain the needed task performance while reducing production inference costs. Snowflake documents that available LLMs vary in capability, latency, and cost, and that fine-tuning creates task-specific customized adapters.

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