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AI Data Flow & Risk of Wrong Real-Time Data



AI Data Flow & Risk of Wrong Real-Time Data

AI Knowledge: Pre-Training vs Real-Time Data

AI learns from historical data but can also fetch live data. Wrong real-time data can mislead AI answers.

Offline Training

  • Web pages, books, articles
  • Curated datasets
  • Code repositories

Knowledge is fixed at training cut-off date.

➡️

Online Retrieval / Augmentation

  • APIs
  • Search engines / RAG
  • Web browsing plugins

Provides up-to-date information.

If the real-time source is wrong, AI’s response may also be incorrect.
➡️

AI Answer

  • Combines pre-trained knowledge and retrieved data
  • Accuracy depends on both historical and real-time sources
Wrong or misleading input data propagates to the AI response

Summary

  • AI uses offline training data for general knowledge.
  • Real-time data enhances answers but can introduce errors if sources are unreliable.
  • Always verify critical information obtained via online retrieval.

People are good at skipping over material they already know!

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