AI for High-Frequency Decision Making

High-frequency decision-making—like in algorithmic trading, dynamic pricing, or real-time logistics—is the ultimate test of an AI system’s stability.

The Real-Time Stack

Avoid heavy LLM round trips. Instead, use lightweight models (LPU-accelerated) for fast decisions, reserving heavy models for retrospective analysis.

Safety Controls

Implement "Hard-Coded Constraints." Never allow the AI to make a transaction exceeding a certain amount or a decision impacting core safety without a final check against a deterministic rule engine.