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SLM360 Research Paper

Research paper on breaking the NLU trilemma -achieving cloud-quality accuracy, sub-40ms latency, and 50MB efficiency on-device.

Overview

SLM360 research paper presents a lightweight NLU engine that breaks the traditional trilemma of choosing between accuracy, latency, and efficiency.

Specs

EngineHybrid Pattern + Semantic classification
Accuracy98-100% on standard benchmarks
Latency39ms median, 0.35ms pattern-only
Key Result4x faster than Rasa, 10x less memory

Features

  • Hybrid classification with confidence arbitration
  • 384-dimensional embeddings with 8-bit quantization
  • Pattern-matching fast path under 1ms
  • CPU-only inference with no cloud dependency
  • Cross-platform deployment including WebAssembly
  • Privacy-preserving offline operation

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