TL;DR semantic_reward is a drop-in DSPy reward function powered by a local quantized NLI cross-encoder — no API call, no key, deterministic, ~70ms per evaluation on CPU. On 50 paired customer-support examples, semantix reaches Pearson r = 0.596 with Groq Llama 3.3 70B, and Cohen's kappa 0.633 at threshold 0.3 (substantial agreement), at ~11× lower latency and $0.13 cheaper per 1k calls. Full r
A 70ms Local NLI Judge Hits 0.596 Pearson r With Groq Llama 3.3 70B on DSPy Reward Scoring
Akhona Eland·Dev.to··1 min read
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