SemIf on LangSmith Gateway, with an early use case in issue labeling
A user says SemIf is much faster so far than their previous LLM classifier for labeling incoming repository issues. They're still monitoring whether the threshold for applying labels is well calibrated.
TLDR
A September 21 announcement describes SemIf as an open-source decision model served through LangSmith Gateway and compatible with the TypeSafe SDK. A user says they're using it to label incoming issues in open-source repositories, helping track popular features and areas needing more attention. Their setup takes issue titles and bodies as input and applies labels when p > 0.8. They report much faster performance than their previous LLM classifier so far, while continuing to check whether that threshold is well calibrated.
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