Imagine a hospital sending every patient straight to the operating theatre. It may work, but it is expensive, slow, and wasteful.
AINNA NeuralOps applies the same logic through Segmentation, Smart Routing, and Detached Systems.
Each instruction is divided into smaller tasks, then routed to the most efficient layer:
Simple tasks go to rules, parsers, databases, or PHP/Python microservices.
Only complex reasoning is sent to an AI model.
This can potentially reduce unnecessary GPU and token usage by 75% to 80%, depending on the workflow.
The ESG impact is equally important:
Environmental: Lower energy use and carbon footprint.
Social: More affordable AI for SMEs.
Governance: Better control, auditability, and predictable execution.
Segment the work. Route intelligently. Use AI only where it creates real value.
#AINNANeuralOps #SmartRouting #DetachedSystems #SustainableAI #ESG #GreenAI
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Apa pendapat anda?
Komen baharu dihantar untuk semakan terlebih dahulu. Nama dan email diperlukan, tetapi email tidak dipaparkan kepada pembaca.
The numbers around token usage by 75% make more sense than most posts I read.
The bit about social: more affordable AI is what I keep coming back to. Need to read this part again.
This is where depending on the workflow finally makes sense.
Useful. We are dealing with imagine a hospital sending every right now.
Bookmarked, mainly for by 75% to 80%.
Ringkas dan jelas. 75% boleh kongsi dengan team saya.