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Hallucination is a classic LLM problem. But detecting and correcting it in real time for voice agents is a very different challenge.This was my first major project at Giga. We explored prompt iteration, production data analysis, small classifiers, fine-tuning, and even hidden-state based approaches.The key lesson: the best method on paper is not always the one that survives real-time voice constraints.After many iterations, we landed on an approach that uses the gap between how fast LLMs generat
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The biggest problem using LLMs is dealing with hallucinations This is a side project I created to parse any textual/tabular data, ask the LLM to answer precisely what the texts are embedded. Any… | James Nguyen
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