[r/ML] TRACER: Learn-to-Defer for LLM Classification with Formal Teacher-Agreement Guarantees

Summary

TRACER is a new library that enables cost-efficient routing for LLM classification tasks by replacing a fraction of expensive LLM calls with a cheaper local surrogate. It provides formal guarantees that the surrogate will agree with the LLM on a specified percentage of handled traffic. This approach aims to reduce operational costs while maintaining performance reliability for LLM-powered classification systems.

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