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Giga Launches Realtime Hallucination Correction

Giga introduces real-time hallucination correction for voice agents, reducing hallucination rates from 4-5% to below 1% with zero added latency. The system leverages the speed gap between LLM generation and voice playback to detect and correct errors before or after audio delivery, using a reasoning model as detector.

SourceHacker News AIAuthor: varunvummadi
Giga Launches Realtime Hallucination Correction
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Key points

  • Reduces voice agent hallucination rate from 4-5% to under 1% without latency overhead
  • Exploits the gap between fast LLM text generation and slower speech tempo for detection
  • Two outcomes: seamless correction before audio plays or explicit correction after playback
  • Temporary correction hints prevent model hedging in subsequent turns

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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