We measured 62% token reduction

2 comments

• base76 8 hours ago

  We measured 62% token reduction on academic text with 92% semantic integrity.

    Not a claim. A measurement. Live, today, on our own research papers.                                                                                                                      
                                                                                                                                                                                              
    How it works:
    → Local LLM compresses the prompt
    → Embedding model validates: cosine similarity ≥ 0.90
    → Below threshold? Raw text sent instead. No silent loss.
  
    This runs as middleware inside CognOS Gateway — before every upstream API call.
  
    Client → [compress + validate] → OpenAI / Claude / Mistral / Ollama
  
    40-62% API cost reduction. Semantic integrity guaranteed or fallback.
  
    Code + methodology:
  
  
    #AI #LLM #MLOps #AIInfrastructure #TokenEfficiency

• jappleseed987 7 hours ago

  [dead]