Home AI Hacker News jjasghar/ai-airport-simulation: Evaluating Real-Time Decision-Making of LLMs in a Sandbox Airport Environment

jjasghar/ai-airport-simulation: Evaluating Real-Time Decision-Making of LLMs in a Sandbox Airport Environment

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Revolutionizing Air Traffic Control with LLM Simulation

Discover a cutting-edge airport simulation designed to rigorously test Large Language Models (LLMs) in demanding air traffic control scenarios. This invaluable tool offers a standardized environment to evaluate AI performance in real-time, focusing on critical decision-making processes.

Key Features:

  • Safety First: Assess how AI prioritizes fuel emergencies and collision avoidance.
  • Resource Optimization: Analyze runway and gate assignments for efficient airport operations.
  • Crisis Management: Test responsiveness in various emergency scenarios, from fuel crises to multi-aircraft collisions.
  • Deep Insights: Gain valuable metrics—safety scores, response times, and resource usage are just a few.

Versatile AI Support:

  • Includes models from Ollama and OpenAI for comprehensive performance comparisons.

Dive into a structured, open-source framework that pushes the boundaries of AI in aviation. 🌟

Ready to elevate your LLM testing? Share your insights or get involved today! 🚀

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