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Snowflake's new low-latency variant targets bounded AI tasks like classification, scoring, and routing, returning typed outputs instead of open-ended text. It is accessible via SQL (AI_COMPLETE) and a REST API through Cortex AI Gateway. For practitioners, the useful questions are how the speed-accuracy tradeoff compares to standard models and how it performs at production volume, since the article is a vendor announcement that provides no benchmarks.
Snowflake Decision Fast: Low-Latency AI Decision Models
Snowflake Decision Fast brings low-latency AI decision models to Cortex AI. Classify, score and route data in real time with SQL or the REST API.
Just two weeks ago, we introduced Snowflake Decision in Cortex AI Functions in private preview. Built specifically for classification, scoring, filtering and routing, it tackles high-volume tasks with bounded answers. Instead of open-ended text, it returns a typed answer, such as a specific category, a numerical score or a yes/no probability, that your workflow can act on directly. Our customers quickly highlighted the need for “arcade speed” for decisions sitting inside interactive or latency-sensitive workflows, such as live routing steps, real-time fraud checks or an agent's…
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