AI Debugging

Noun · AI & Machine Learning

Definitions

  1. The process of investigating and fixing problems in AI systems, such as bad outputs, retrieval errors, prompt issues, latency spikes, or evaluation failures. AI debugging often involves prompts, model settings, input data, and orchestration logic rather than just code alone.

    In plain English: Finding and fixing problems in an AI system.

    Example: "AI debugging showed the hallucinations were caused less by the model and more by stale retrieval documents being ranked too highly."

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