Stop forcing a 2,700-word prompt + 900ms frontier model to do a fine-tuned smaller…
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Stop forcing a 2,700-word prompt + 900ms frontier model to do a fine-tuned smaller model’s job. 💪 @AirbnbEng just fine-tuned @GoogleGemma 4 E2B on a single GPU with @vllm_project, to serve as a JEV-like classifier. The results are pretty solid: ⚡ 35ms median latency (85ms p99) 🎯 0.902 F1 (matches frontier models) 📉 ~1% of the cost at scale 🔗 Read the full deep dive on GLOWC + their @GoogleDeepMind Gemma 4 setup here: https://airbnb.tech/ai-ml/frontier-quality-at-1-of-the-cost-a-production-benchmark-of-llm-classifiers/
Posted by 👩💻 Paige Bailey (76.6k followers) 18 h ago · 317 likes · 16.3k views · view the original post on X. Kept by the AI Radar as AI infra & evals.
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